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	<updated>2026-04-18T01:16:03Z</updated>
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	<entry>
		<id>https://recsyswiki.com/index.php?title=Recommender_Systems_Challenge&amp;diff=2447</id>
		<title>Recommender Systems Challenge</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=Recommender_Systems_Challenge&amp;diff=2447"/>
		<updated>2021-01-28T15:14:09Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The '''Recommender Systems Challenge''' is the official challenge of the [[ACM RecSys]] conference series. The challenge started with the [[CAMRa 2010]] challenge at [[RecSys 2010]]. Since 2012, the challenges at RecSys have been labeled RecSysChallenge.&lt;br /&gt;
&lt;br /&gt;
===External links===&lt;br /&gt;
* [https://recsys.acm.org/challenges/ List of RecSys Challenge winners]&lt;br /&gt;
* [http://www.dai-labor.de/camra2010/ CAMRa2010] Context-Aware Movie Recommendation&lt;br /&gt;
* [https://web.archive.org/web/20160310010222/http://2011.camrachallenge.com/ CAMRa2011] Context-Aware Movie Recommendation&lt;br /&gt;
* [http://2012.recsyschallenge.com RecSysChallenge 2012] Two tracks: CAMRa (Context-Aware Movie Recommendation) and ScienceRec (Scientific Paper Recommendation)&lt;br /&gt;
* [http://2013.recsyschallenge.com RecSysChallenge 2013] Yelp Business Rating Prediction&lt;br /&gt;
* [http://2014.recsyschallenge.com RecSysChallenge 2014] User Engagement as Evaluation using [[MovieTweetings]]&lt;br /&gt;
* [http://2015.recsyschallenge.com RecSysChallenge 2015] YooChoose e-commerce click and buy prediction&lt;br /&gt;
* [http://2016.recsyschallenge.com RecSysChallenge 2016] XING job posting recommendation&lt;br /&gt;
* [http://2017.recsyschallenge.com RecSysChallenge 2017] XING job posting recommendation in a cold-start setting.&lt;br /&gt;
* [http://2018.recsyschallenge.com RecSysChallenge 2018] Spotify automatic playlist continuation&lt;br /&gt;
* [http://www.recsyschallenge.com/2019 RecSysChallenge 2019] Trivago session-based and context-aware accommodation recommendation &lt;br /&gt;
* [http://www.recsyschallenge.com/2020 RecSysChallenge 2020] Twitter engagement prediction&lt;br /&gt;
&lt;br /&gt;
[[Category:event]]&lt;br /&gt;
[[Category:competition]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2443</id>
		<title>List of recommender system dissertations</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2443"/>
		<updated>2020-10-13T12:39:04Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Recommender systems]] related '''''doctoral''''' dissertations by year. For other types of theses see:&lt;br /&gt;
* [[List of recommender systems master's theses]]&lt;br /&gt;
* [[List of recommender systems bachelor's theses]]&lt;br /&gt;
&lt;br /&gt;
Dissertation within a year are sorted alphabetically by title.&lt;br /&gt;
&lt;br /&gt;
== 2020s ==&lt;br /&gt;
=== 2020 ===&lt;br /&gt;
* [https://bia.unibz.it/bitstream/handle/10863/14081/Final_PHD.pdf?sequence=3 Ratings in Recommender Systems: Decision Biases and Explainability] - [[Ludovik Coba]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== 2010-2019 ==&lt;br /&gt;
=== 2019 ===&lt;br /&gt;
* [https://research.tue.nl/files/119737279/20190226_CO_Starke.pdf Supporting energy-efficient choices using Rasch-based recommender interfaces] - [[Alain Starke]]&lt;br /&gt;
&lt;br /&gt;
=== 2018 ===&lt;br /&gt;
* [https://research.tue.nl/files/126497389/20180524_Graus.pdf From behavior-centered to user-centered : incorporating psychological knowledge and user feedback in personalization] - [[Mark Graus]]&lt;br /&gt;
&lt;br /&gt;
=== 2017 ===&lt;br /&gt;
* [https://www.politesi.polimi.it/bitstream/10589/135782/1/thesis.pdf Algorithms for Sequence-aware Recommender Systems] - [[Massimo Quadrana]]&lt;br /&gt;
&lt;br /&gt;
=== 2016 ===&lt;br /&gt;
* [https://www.jku.at/fileadmin/gruppen/173/Research/Ferwerda_Dissertation_final-komprimiert.pdf Improving the User Experience of Music Recommender Systems Through Personality and Cultural Information] - [[Bruce Ferwerda]]&lt;br /&gt;
&lt;br /&gt;
=== 2015 ===&lt;br /&gt;
* [http://yu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002052536 A Weighted User Similarity Model for Cold Start Recommendations] - [[Parivash Pirasteh]]&lt;br /&gt;
* [http://krex.k-state.edu/dspace/bitstream/handle/2097/19779/RohitParimi2015.pdf?sequence=6&amp;amp;isAllowed=y Collaborative Filtering Approaches for Single-domains and Cross-domain Recommender Systems] - [[Rohit Parimi]]&lt;br /&gt;
* [http://ir.ii.uam.es/saul/saulvargas-thesis.pdf Novelty and Diversity Evaluation and Enhancement in Recommender Systems] - [[Saúl Vargas]]&lt;br /&gt;
* [http://docear.org/papers/Towards%20Effective%20Research-Paper%20Recommender%20Systems%20and%20User%20Modeling%20based%20on%20Mind%20Maps.pdf Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Maps] - Joeran Beel&lt;br /&gt;
&lt;br /&gt;
=== 2014 ===&lt;br /&gt;
* [http://scholarlyrepository.miami.edu/cgi/viewcontent.cgi?article=2209&amp;amp;context=oa_dissertations A Model-Based Music Recommendation System for Individual Users and Implicit User Groups] - [[Yajie Hu]] &lt;br /&gt;
* [https://boa.unimib.it/retrieve/handle/10281/70560/104693/PhD_unimib_%20%09732150%20.pdf Advancing Recommender Systems from the Algorithm, Interface and Methodological Perspective] - [[Marco Rossetti]]&lt;br /&gt;
* [http://infoscience.epfl.ch/record/199806 Aggregating Information from the Crowd: ratings, recommendations and predictions] - [[Florent Garcin]]&lt;br /&gt;
* [http://wanlab.poly.edu/xiwang/doc/thesis.pdf Collaborative Filtering Based Social Recommender Systems] - [[Xiwang Yang]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/3158723 Cross-domain Recommendations based on semantically-enhanced User Web Behavior] - [[Julia Hoxha]] &lt;br /&gt;
* [http://www.win.tue.nl/ipa/?event=cryptographically-enhanced-privacy-for-recommender-systems Cryptographically-Enhanced Privacy for Recommender Systems] - [[Arjan Jeckmans]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/11299/167084 Database management system support for collaborative filtering recommender systems] - [[Mohamed Sarwat]]&lt;br /&gt;
* [https://www.researchgate.net/publication/292991578_Empirical_Evaluation_of_Active_Learning_Strategies_in_Collaborative_Filtering Empirical Evaluation of Active Learning Strategies in Collaborative Filtering] - [[Mehdi Elahi]]&lt;br /&gt;
* [http://bit.ly/simonphd Dynamic Generation of Personalized Hybrid Recommender Systems] - [[Simon Dooms]]&lt;br /&gt;
* Enhancing Discovery in Geoportals: Geo-Enrichment, Semantic Enhancement and Recommendation Strategies for Geo-Information Discovery - [[Bernhard Vockner]]&lt;br /&gt;
* [http://www.lsi.upc.edu/~vcodina/phd.pdf Exploiting Distributional Semantics for Content-Based and Context-Aware Recommendation] - [[Victor Codina]]&lt;br /&gt;
* [http://micheletrevisiol.com/data/Exploiting_Implicit_User_Activity_for_Media_Recommendation.pdf Exploiting Implicit User Activity for Media Recommendation] - [[Michele Trevisiol]]&lt;br /&gt;
* [http://arks.princeton.edu/ark:/88435/dsp01nv935299q Information Aggregation in Quantized Consensus, Recommender Systems, and Ranking] - [[Shang Shang]]&lt;br /&gt;
* [http://repository.lib.ncsu.edu/ir/bitstream/1840.16/9727/1/etd.pdf More Usable Recommendation Systems for Improving Software Quality] - [[Yoonki Song]]&lt;br /&gt;
* [http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=2550&amp;amp;context=etd Next Generation of Recommender Systems: Algorithms and Applications] - [[Lei Li]]&lt;br /&gt;
* [https://tel.archives-ouvertes.fr/tel-01135312/document Privacy-enabled scalable recommender systems] -[[Andrés Moreno]]&lt;br /&gt;
* [http://ethesis.unifr.ch/theses/downloads.php?file=TeranL.pdf SmartParticipation: A Fuzzy-Based Recommender System for Political Community-Building] - [[Luis Fernando Terán Tamayo]]&lt;br /&gt;
* [http://elehack.net/research/thesis/ Towards Recommender Engineering: Tools and Experiments for Identifying Recommender Differences] - [[Michael Ekstrand]]&lt;br /&gt;
* [http://tampub.uta.fi/bitstream/handle/10024/95965/978-951-44-9551-9.pdf User Factors in Recommender Systems: Case Studies in e-Commerce, News Recommending, and e-Learning] - [[Juha Leino]]&lt;br /&gt;
&lt;br /&gt;
=== 2013 ===&lt;br /&gt;
* [http://interactivesystems.info/publications/a-conceptual-model-and-a-software-framework-for-developing-context-aware-hybrid-recommender-systems A conceptual model and a software framework for developing context aware hybrid recommender systems] - [[Tim Hussein]]&lt;br /&gt;
* [http://shodhganga.inflibnet.ac.in/handle/10603/24399 Effective tag recommendation system based on topic ontology] - [[V Subramaniyaswamy]]&lt;br /&gt;
* [http://eprints.ucm.es/24533/ Estrategias de recomendación basadas en conocimiento para la localización personalizada de recursos en repositorios educativos] (Spanish) - [[Almudena Ruiz-Iniesta]]&lt;br /&gt;
* [http://opus4.kobv.de/opus4-tuberlin/frontdoor/index/index/docId/3681 Evaluating the Accuracy and Utility of Recommender Systems] - [[Alan Said]]&lt;br /&gt;
* [http://julian-urbano.info/publications/061-evaluation-audio-music-similarity Evaluation in Audio Music Similarity] - [[Julián Urbano]]&lt;br /&gt;
* [https://biblio.ugent.be/input/download?func=downloadFile&amp;amp;recordOId=4163727&amp;amp;fileOId=4163752 Improved online services by personalized recommendations and optimal quality of experience parameters] - [[Toon De Pessemier]]&lt;br /&gt;
* [http://hdl.handle.net/10059/859 Integrating Content and Semantic Representations for Music Recommendation] - [[Ben Horsburgh]]&lt;br /&gt;
* [http://escholarship.org/uc/item/4xw874p5#page-1 Latent feature models for dyadic prediction] - [[Aditya Krishna Menon]]&lt;br /&gt;
* [http://edok01.tib.uni-hannover.de/edoks/e01dh13/767033973.pdf Living Analytics Methods for the Social Web] - [[Ernesto Diaz-Aviles]]&lt;br /&gt;
* [http://repository.tudelft.nl/assets/uuid:f7d3977e-f191-40d4-8f27-784a32902a55/thesis_yueshi.pdf Ranking and Context-awareness in Recommender Systems] - [[Yue Shi]]&lt;br /&gt;
* [https://repositorio.uam.es/bitstream/handle/10486/14091/66095_campos%20soto%20pedro%20g..pdf Recommender Systems and Time Context: Characterization of a Robust Evaluation Protocol to Increase Reliability of Measured Improvemenets] - [[Pedro Campos]]&lt;br /&gt;
* [http://users.soe.ucsc.edu/~jwang30/index.files/dissertation-Jian.pdf Session Aware Recommender System in E-Commerce] - [[Jian Wang]]&lt;br /&gt;
* [http://doras.dcu.ie/17737/ Social contextuality and conversational recommender systems] - [[Eoin Hurrell]]&lt;br /&gt;
* [http://liris.cnrs.fr/Documents/Liris-6406.pdf Trace-Based Reasoning for User Assistance and Recommendations] - [[Raafat Zarka]]&lt;br /&gt;
* [http://kth.diva-portal.org/smash/record.jsf?pid=diva2:606503 Trust-Based User Profiling] - [[Nima Dokoohaki]]&lt;br /&gt;
* [http://scidok.sulb.uni-saarland.de/volltexte/2013/5528/pdf/Boehmer_2013_MobileApplicationUsage_low.pdf Understanding and supporting mobile application usage] - [[Matthias Böhmer]]&lt;br /&gt;
* [http://d-scholarship.pitt.edu/19733/ User Contrallability in a Hybrid Recommender System] - [[Denis Parra]]&lt;br /&gt;
&lt;br /&gt;
=== 2012 ===&lt;br /&gt;
* [http://library.epfl.ch/en/theses/?nr=5318 Design and User Perception Issues for Personality-Engaged Recommender Systems] - [[Rong Hu]]&lt;br /&gt;
* [http://www.di.uniba.it/~swap/papers/musto_thesis.pdf Enhanced Vector Space Models for Content-based Recommender Systems] - [[Cataldo Musto]]&lt;br /&gt;
* [http://dalspace.library.dal.ca/bitstream/handle/10222/14735/Lipczak,%20Marek,%20PhD,%20CS,%20March%202012.pdf?sequence=5 Hybrid Tag Recommendation in Collaborative Tagging Systems] - [[Marek Lipczak]]&lt;br /&gt;
* [http://gradworks.umi.com/35/05/3505275.html Interaction Methods for Large Scale Graph Visualization Systems --- Using Manipulation to Aid Discovery] - [[Brynjar Gretarsson]]&lt;br /&gt;
* [http://www.evazangerle.at/wp-content/papercite-data/pdf/evaphd.pdf Leveraging Recommender Systems for the Creation and Maintenance of Structure within Collaborative Social Media Platforms] - [[Eva Zangerle]]&lt;br /&gt;
* [https://eldorado.tu-dortmund.de/bitstream/2003/29661/1/Dissertation.pdf Leveraging Tagging Data for Recommender Systems] - [[Fatih Gedikli]]&lt;br /&gt;
* [http://cseweb.ucsd.edu/~bmcfee/papers/bmcfee_dissertation.pdf More like this: machine learning approaches to music similarity] - [[Brian McFee]]&lt;br /&gt;
* [http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-17249 On some Challenges for Online Trust and Reputation Systems] - [[Mozhgan Tavakolifard]]&lt;br /&gt;
* [http://www.l3s.de/~krestel/cmsimple3_2/?Publications:Others:PhD_Thesis_12 On the Use of Language Models and Topic Models in the Web: New Algorithms for Filtering, Classification, Ranking, and Recommendation] - [[Ralf Krestel]]&lt;br /&gt;
* [http://ir.ii.uam.es/~alejandro/thesis/thesis-bellogin.pdf Performance prediction and evaluation in Recommender Systems: an Information Retrieval perspective] - [[Alejandro Bellogin]]&lt;br /&gt;
* [http://eprints.qut.edu.au/59507/1/Noraswaliza_Abdullah_Thesis.pdf Integrating collaborative filtering and matching-based search for product recommendation] - [[Noraswaliza Abdullah]]&lt;br /&gt;
* [http://www.uns.ac.rs/sr/doktorske/aleksandraKlasnjaMilicevic/disertacija.pdf Personalized Recommendation Based on Collaborative Tagging Techniques for an E-learning System] - [[Aleksandra Klašnja‐Milićević]]&lt;br /&gt;
* [http://arxiv.org/pdf/1203.4487v2 Recommender systems in industrial contexts] - [[Frank Meyer]]&lt;br /&gt;
* [http://opus.bsz-bw.de/ubhi/volltexte/2012/167/pdf/item_recommendation.pdf Supervised Machine Learning Methods for Item Recommendation] - [[Zeno Gantner]]&lt;br /&gt;
* [http://gradworks.umi.com/35/23/3523081.html Understanding Consistency of Recommender Systems: Behavioral and Algorithmic Perspectives] - [[Jingjing Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2011 ===&lt;br /&gt;
* [http://users.cecs.anu.edu.au/~sguo/thesis.pdf Bayesian Recommender Systems: Models and Algorithms] - [[Shengbo Guo]]&lt;br /&gt;
* [http://www.inf.unibz.it/~lbaltrunas/doc/linas_phd_thesis.pdf Context-Aware Collaborative Filtering Recommender Systems] - [[Linas Baltrunas]]&lt;br /&gt;
* [http://benfields.net/bfields_thesis.pdf Contextualize Your Listening: The Playlist as Recommendation Engine] - [[Ben Fields]]&lt;br /&gt;
* [http://www.eric.ed.gov/ERICWebPortal/search/detailmini.jsp?_nfpb=true&amp;amp;_&amp;amp;ERICExtSearch_SearchValue_0=ED534217&amp;amp;ERICExtSearch_SearchType_0=no&amp;amp;accno=ED534217 Deployment of Recommender Systems: Operational and Strategic Issues] - [[Abhijeet Ghoshal]]&lt;br /&gt;
* [http://espace.library.uq.edu.au/view/UQ:263213 Effective and Efficient Collaborative Filtering] - [[Yi Ding]]&lt;br /&gt;
* [http://www.cse.cuhk.edu.hk/lyu/_media/students/thesisxin9.pdf Effective Fusion-based Approaches for Recommender Systems] - [[Xin Xin]]&lt;br /&gt;
* [http://www.aka-verlag.com/de/detail?ean=978-3-89838-332-5 Formal Concept Analysis and Tag Recommendations in Collaborative Tagging Systems] - [[Robert Jäschke]]&lt;br /&gt;
* [http://uclab.khu.ac.kr/resources/thesis/PhD_Thesis_Weiwei.pdf Improved Trust-Aware Recommender System using Small-Worldness of Trust Networks] - [[Weiwei Yuan]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/117321 Personalized Recommendation in Social Network Sites] - [[Jilin Chen]]&lt;br /&gt;
* [http://lac-repo-live7.is.ed.ac.uk/bitstream/1842/5770/1/Givon2011.pdf Predicting and using social tags to improve the accuracy and transparency of recommender systems] - [[Sharon Givon]]&lt;br /&gt;
* [http://slavnik.fe.uni-lj.si/markot/uploads/Main/2010_tkalcic_phd.pdf Recognition and usage of emotive parameters in recommender systems] - [[Marko Tkalčič]]&lt;br /&gt;
* [http://gradworks.umi.com/34/79/3479962.html Swarm intellilgence for clustering dynamic data sets for web usage mining and personalization] - [[Esin Saka]]&lt;br /&gt;
* [http://eprints.qut.edu.au/41879/1/Huizhi_Liang_Thesis.pdf User profiling based on folksonomy information in Web 2.0 for personalized recommender systems] - [[Huizhi Liang]]&lt;br /&gt;
* [http://eprints.qut.edu.au/49168/1/Touhid_Bhuiyan_Thesis.pdf Trust-based automated recommendation making] - [[Touhid Bhuiyan]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/1687272 Using Data Mining for Facilitating User Contributions in the Social Semantic Web] - [[Maryam Ramezani]]&lt;br /&gt;
* [http://gradworks.umi.com/34/49/3449549.html Visualization of music relational information sources for analysis, navigation, and discovery] - [[Justin Donaldson]]&lt;br /&gt;
&lt;br /&gt;
=== 2010 ===&lt;br /&gt;
* [http://www.amazon.com/Domain-Independent-Framework-Intelligent-Recommendations-Application/dp/3838113756 A Domain-Independent Framework for Intelligent Recommendations] - [[Jörn David]]&lt;br /&gt;
* [http://www.cp.jku.at/people/seyerlehner/supervised/seyerlehner_phd.pdf Content-Based Music Recommender Systems: Beyond simple Frame-Level Audio Similarity] - [[Klaus Seyerlehner]]&lt;br /&gt;
* [http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-642-16897-0 Context-Aware Ranking with Factorization Models] - [[Steffen Rendle]]&lt;br /&gt;
* [http://www.cs.ucl.ac.uk/staff/n.lathia/thesis.html Evaluating Collaborative Filtering Over Time] - [[Neal Lathia]]&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2010/2695/pdf/wetzker_robert.pdf Graph-Based Recommendation in Broad Folksonomies] - [[Robert Wetzker]]&lt;br /&gt;
* [http://lib.tkk.fi/Diss/2010/isbn9789526031514/isbn9789526031514.pdf Methods and Applications for Ontology-based Recommender Systems] - [[Tuukka Ruotsalo]]&lt;br /&gt;
* [http://theses.gla.ac.uk/2132/01/2010hopfgartner1phd.pdf Personalised video retrieval: application of implicit feedback and semantic user profiles] - [[Frank Hopfgartner]]&lt;br /&gt;
* [http://www.dsc.ufcg.edu.br/~lbmarinho/homepage/pub/thesis_marinho.pdf Recommender Systems for Social Tagging Systems] - [[Leandro Balby Marinho]]&lt;br /&gt;
* [http://www.verlagdrkovac.de/3-8300-5081-X.htm Recommender Systeme für produktbegleitende Dienstleistungen] - [[Margarethe Frohs]]&lt;br /&gt;
* [http://wrap.warwick.ac.uk/3759/1/WRAP_THESIS_Li_2010.pdf Relational clustering models for knowledge discovery and recommender systems] - [[Tao Li]]&lt;br /&gt;
* [https://biblio.ugent.be/publication/986279/file/1886805.pdf Trust networks for recommender systems] - [[Patricia Victor]]&lt;br /&gt;
* [http://gradworks.umi.com/34/70/3470158.html User session and history modeling for collaborative visualization] - [[Fanhai Yang]]&lt;br /&gt;
&lt;br /&gt;
== 2000-2009 ==&lt;br /&gt;
=== 2009 ===&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2009/2245/pdf/lommatzsch_andreas.pdf Eine offene Architektur für die agentenbasierte, adaptive, personalisierte Informationsfilterung] (German) - [[Andreas Lommatzsch]]&lt;br /&gt;
* [http://www.abdn.ac.uk/~csc284/Nava%20Tintarev_PhD_Thesis_%282010%29.pdf Explaining recommendations] - [[Nava Tintarev]]&lt;br /&gt;
* [http://www.omikk.bme.hu/collections/phd/Villamosmernoki_es_Informatikai_Kar/2010/Pilaszy_Istvan/ertekezes.pdf Factorization-Based Large Scale Recommendation Algorithms] - [[István Pilászy]]&lt;br /&gt;
* [http://www.shilad.com/shilads_thesis.pdf Nurturing Tagging Communities] - [[Shilad Sen]]&lt;br /&gt;
* [http://repository.upenn.edu/dissertations/AAI3363295/ Recommender systems and market diversity] - [[Daniel M. Fleder]]&lt;br /&gt;
* [http://itlab.dbit.dk/~toine/?page_id=6 Recommender Systems for Social Bookmarking] - [[Toine Bogers]]&lt;br /&gt;
* [http://svn.egovmon.no/svn/phdgoodwin/thesis/referenceexample/MMR_thesis_afterDefense.pdf Towards Efficient Music Similarity Search, Ranking, and Recommendation] - [[Maria Magdalena Ruxanda]]&lt;br /&gt;
&lt;br /&gt;
=== 2008 ===&lt;br /&gt;
* [http://essay.utwente.nl/59711/1/MA_thesis_J_de_Wit.pdf Evaluating recommender systems : an evaluation framework to predict user satisfaction for recommender systems in an electronic programme guide context] - [[Joost de Wit]]&lt;br /&gt;
* [http://arantxa.ii.uam.es/~cantador/doc/2008/thesis08.zip Exploiting the Conceptual Space in Hybrid Recommender Systems: a Semantic-based Approach] - [[Iván Cantador]]&lt;br /&gt;
* [http://eprints.qut.edu.au/29165/2/Li-Tung_Weng_Thesis.pdf Information Enrichment for Quality Recommender Systems] - [[Li-Tung Weng]]&lt;br /&gt;
* [http://tomheath.com/thesis/html Information-seeking on the Web with Trusted Social Networks – from Theory to Systems] - [[Tom Heath]]&lt;br /&gt;
* [http://www.cs.umass.edu/~marlin/research/phd_thesis/marlin-phd-thesis.pdf Missing Data Problems in Machine Learning] - [[Benjamin Marlin]]&lt;br /&gt;
* [http://mtg.upf.edu/node/1217 Music Recommendation and Discovery in the Long Tail] - [[Òscar Celma]]&lt;br /&gt;
* [http://hal.inria.fr/docs/00/34/83/70/PDF/TeseFinal.pdf Recommender System based on Personality Traits] - [[Maria Augusta Silveira Netto Nunes]]&lt;br /&gt;
* [http://winnie.kuis.kyoto-u.ac.jp/members/yoshii/d-thesis-yoshii.pdf Studies on Hybrid Music Recommendation Using Timbral and Rhythmic Features] - [[Kazuyoshi Yoshii]]&lt;br /&gt;
* [http://www.peterlang.com/index.cfm?event=cmp.ccc.seitenstruktur.detailseiten&amp;amp;seitentyp=produkt&amp;amp;pk=56341&amp;amp;cid=367 Towards Metadata-aware Algorithms for Recommender Systems] - [[Karen H. L. Tso-Sutter]]&lt;br /&gt;
* [http://hci.epfl.ch/members/lichen/EPFL_TH4140.pdf User Decision Improvement and Trust Building in Product Recommender Systems] - [[Li Chen]]&lt;br /&gt;
&lt;br /&gt;
=== 2007 ===&lt;br /&gt;
* [http://www.ulrichpaquet.com/Papers/PhDThesis.pdf Bayesian Inference for Latent Variable Models] - [[Ulrich Paquet]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~arashid/thesis.pdf Mining Influence in Recommender Systems] - [[Al Mamunur Rashid]]&lt;br /&gt;
* [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.91.2714&amp;amp;rep=rep1&amp;amp;type=pdf Building Trustworthy Recommender Systems] - [[Sheng Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2006 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1269509 Designing social interactions with animated avatars and speech output for product recommendation agents in electronic commerce] - [[Lingyun Qiu]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~mcnee/mcnee-thesis-preprint.pdf Meeting User Information Needs in Recommender Systems] - [[Sean McNee]]&lt;br /&gt;
&lt;br /&gt;
=== 2005 ===&lt;br /&gt;
* [http://eprints.ecs.soton.ac.uk/10692/1/wei-phd-thesis.pdf A Market-Based Approach to Recommender Systems] - [[Yan Zheng Wei]]&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1123874 Explanet: a learning tool and hybrid recommender system for student-authored explanations] - [[Jessica Masters]]&lt;br /&gt;
* Hybrid recommendation techniques based on user profiles - [[Pasquale Lops]]&lt;br /&gt;
* [http://www.princeton.edu/~smorris/pdfs/PhD/Ozmen.pdf Information Transmission and Recommender Systems] - [[Deran Özmen]]&lt;br /&gt;
* [https://doc.telin.nl/dsweb/Get/Document-56873 Supporting People In Finding Information: Hybrid Recommender Systems and Goal-Based Structuring] - [[Mark van Setten]]&lt;br /&gt;
* [http://www.freidok.uni-freiburg.de/volltexte/1804/pdf/Thesis.pdf Towards Decentralized Recommender Systems] - [[Cai-Nicolas Ziegler]]&lt;br /&gt;
* [http://dspace.mit.edu/bitstream/handle/1721.1/31137/61184336.pdf?sequence=1 Use of Discrete Choice Models with Recommender Systems] - [[Bassam H. Chaptini]]&lt;br /&gt;
&lt;br /&gt;
=== 2004 ===&lt;br /&gt;
&lt;br /&gt;
=== 2003 ===&lt;br /&gt;
* [http://eia.udg.es/~mmontane/montaner-thesis03.pdf Collaborative recommender agents based on case-based reasoning and trust] - [[Miquel Montaner]]&lt;br /&gt;
* [https://circle.ubc.ca/bitstream/handle/2429/14933/ubc_2003-859525.pdf?sequence=1 The Impact of Internalization and Familiarity on Trust and Adoption of Recommendation Agents] - [[Sherrie Komiak]]&lt;br /&gt;
* [http://knuth.luther.edu/~bmiller/Papers/thesis.pdf Toward a Personal Recommender System] - [[Bradley N. Miller]]&lt;br /&gt;
&lt;br /&gt;
=== 2002 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=935978 Recommendation as classification and recommendation as matching: two information-centered approaches to recommendation] - [[Chumki Basu]]&lt;br /&gt;
&lt;br /&gt;
=== 2001 ===&lt;br /&gt;
* [http://www.patrickbaudisch.com/publications/2001-Baudisch-Dissertation-DynamicInformationFiltering.pdf Dynamic Information Filtering] - [[Patrick Baudisch]]&lt;br /&gt;
* [http://www.cs.uni.edu/~schafer/publications/schafer_thesis.pdf MetaLens: A Framework for Multsource Recommendations] - [[Ben Schafer]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~sarwar/thesis.ps Sparsity, scalability, and distribution in recommender systems] - [[Badrul Munir Sarwar]]&lt;br /&gt;
&lt;br /&gt;
=== 2000 ===&lt;br /&gt;
&lt;br /&gt;
== 1990s ==&lt;br /&gt;
&lt;br /&gt;
=== 1999 ===&lt;br /&gt;
&lt;br /&gt;
=== 1998 ===&lt;br /&gt;
&lt;br /&gt;
=== 1997 ===&lt;br /&gt;
* Recommender Systems for Problem Solving Environments - [[Naren Ramakrishnan]]&lt;br /&gt;
&lt;br /&gt;
== External links ==&lt;br /&gt;
* [http://pampalk.at/mir-phds/ PhD Theses and Doctoral Dissertations Related to Music Information Retrieval]&lt;br /&gt;
* [http://www.mendeley.com/groups/3058301/recommender-system-dissertations/papers/ Mendeley collection of Recommender System dissertations] (based on this page)&lt;br /&gt;
&lt;br /&gt;
[[Category: List|Dissertation]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2439</id>
		<title>List of recommender system dissertations</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2439"/>
		<updated>2020-09-25T19:17:31Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Recommender systems]] related '''''doctoral''''' dissertations by year. For other types of theses see:&lt;br /&gt;
* [[List of recommender systems master's theses]]&lt;br /&gt;
* [[List of recommender systems bachelor's theses]]&lt;br /&gt;
&lt;br /&gt;
Dissertation within a year are sorted alphabetically by title.&lt;br /&gt;
&lt;br /&gt;
== 2010-2019 ==&lt;br /&gt;
=== 2019 ===&lt;br /&gt;
* [https://research.tue.nl/files/119737279/20190226_CO_Starke.pdf Supporting energy-efficient choices using Rasch-based recommender interfaces] - [[Alain Starke]]&lt;br /&gt;
&lt;br /&gt;
=== 2018 ===&lt;br /&gt;
* [https://research.tue.nl/files/126497389/20180524_Graus.pdf From behavior-centered to user-centered : incorporating psychological knowledge and user feedback in personalization] - [[Mark Graus]]&lt;br /&gt;
&lt;br /&gt;
=== 2017 ===&lt;br /&gt;
* [https://www.politesi.polimi.it/bitstream/10589/135782/1/thesis.pdf Algorithms for Sequence-aware Recommender Systems] - [[Massimo Quadrana]]&lt;br /&gt;
&lt;br /&gt;
=== 2016 ===&lt;br /&gt;
* [https://www.jku.at/fileadmin/gruppen/173/Research/Ferwerda_Dissertation_final-komprimiert.pdf Improving the User Experience of Music Recommender Systems Through Personality and Cultural Information] - [[Bruce Ferwerda]]&lt;br /&gt;
&lt;br /&gt;
=== 2015 ===&lt;br /&gt;
* [http://yu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002052536 A Weighted User Similarity Model for Cold Start Recommendations] - [[Parivash Pirasteh]]&lt;br /&gt;
* [http://krex.k-state.edu/dspace/bitstream/handle/2097/19779/RohitParimi2015.pdf?sequence=6&amp;amp;isAllowed=y Collaborative Filtering Approaches for Single-domains and Cross-domain Recommender Systems] - [[Rohit Parimi]]&lt;br /&gt;
* [http://ir.ii.uam.es/saul/saulvargas-thesis.pdf Novelty and Diversity Evaluation and Enhancement in Recommender Systems] - [[Saúl Vargas]]&lt;br /&gt;
* [http://docear.org/papers/Towards%20Effective%20Research-Paper%20Recommender%20Systems%20and%20User%20Modeling%20based%20on%20Mind%20Maps.pdf Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Maps] - Joeran Beel&lt;br /&gt;
&lt;br /&gt;
=== 2014 ===&lt;br /&gt;
* [http://scholarlyrepository.miami.edu/cgi/viewcontent.cgi?article=2209&amp;amp;context=oa_dissertations A Model-Based Music Recommendation System for Individual Users and Implicit User Groups] - [[Yajie Hu]] &lt;br /&gt;
* [https://boa.unimib.it/retrieve/handle/10281/70560/104693/PhD_unimib_%20%09732150%20.pdf Advancing Recommender Systems from the Algorithm, Interface and Methodological Perspective] - [[Marco Rossetti]]&lt;br /&gt;
* [http://infoscience.epfl.ch/record/199806 Aggregating Information from the Crowd: ratings, recommendations and predictions] - [[Florent Garcin]]&lt;br /&gt;
* [http://wanlab.poly.edu/xiwang/doc/thesis.pdf Collaborative Filtering Based Social Recommender Systems] - [[Xiwang Yang]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/3158723 Cross-domain Recommendations based on semantically-enhanced User Web Behavior] - [[Julia Hoxha]] &lt;br /&gt;
* [http://www.win.tue.nl/ipa/?event=cryptographically-enhanced-privacy-for-recommender-systems Cryptographically-Enhanced Privacy for Recommender Systems] - [[Arjan Jeckmans]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/11299/167084 Database management system support for collaborative filtering recommender systems] - [[Mohamed Sarwat]]&lt;br /&gt;
* [https://www.researchgate.net/publication/292991578_Empirical_Evaluation_of_Active_Learning_Strategies_in_Collaborative_Filtering Empirical Evaluation of Active Learning Strategies in Collaborative Filtering] - [[Mehdi Elahi]]&lt;br /&gt;
* [http://bit.ly/simonphd Dynamic Generation of Personalized Hybrid Recommender Systems] - [[Simon Dooms]]&lt;br /&gt;
* Enhancing Discovery in Geoportals: Geo-Enrichment, Semantic Enhancement and Recommendation Strategies for Geo-Information Discovery - [[Bernhard Vockner]]&lt;br /&gt;
* [http://www.lsi.upc.edu/~vcodina/phd.pdf Exploiting Distributional Semantics for Content-Based and Context-Aware Recommendation] - [[Victor Codina]]&lt;br /&gt;
* [http://micheletrevisiol.com/data/Exploiting_Implicit_User_Activity_for_Media_Recommendation.pdf Exploiting Implicit User Activity for Media Recommendation] - [[Michele Trevisiol]]&lt;br /&gt;
* [http://arks.princeton.edu/ark:/88435/dsp01nv935299q Information Aggregation in Quantized Consensus, Recommender Systems, and Ranking] - [[Shang Shang]]&lt;br /&gt;
* [http://repository.lib.ncsu.edu/ir/bitstream/1840.16/9727/1/etd.pdf More Usable Recommendation Systems for Improving Software Quality] - [[Yoonki Song]]&lt;br /&gt;
* [http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=2550&amp;amp;context=etd Next Generation of Recommender Systems: Algorithms and Applications] - [[Lei Li]]&lt;br /&gt;
* [https://tel.archives-ouvertes.fr/tel-01135312/document Privacy-enabled scalable recommender systems] -[[Andrés Moreno]]&lt;br /&gt;
* [http://ethesis.unifr.ch/theses/downloads.php?file=TeranL.pdf SmartParticipation: A Fuzzy-Based Recommender System for Political Community-Building] - [[Luis Fernando Terán Tamayo]]&lt;br /&gt;
* [http://elehack.net/research/thesis/ Towards Recommender Engineering: Tools and Experiments for Identifying Recommender Differences] - [[Michael Ekstrand]]&lt;br /&gt;
* [http://tampub.uta.fi/bitstream/handle/10024/95965/978-951-44-9551-9.pdf User Factors in Recommender Systems: Case Studies in e-Commerce, News Recommending, and e-Learning] - [[Juha Leino]]&lt;br /&gt;
&lt;br /&gt;
=== 2013 ===&lt;br /&gt;
* [http://interactivesystems.info/publications/a-conceptual-model-and-a-software-framework-for-developing-context-aware-hybrid-recommender-systems A conceptual model and a software framework for developing context aware hybrid recommender systems] - [[Tim Hussein]]&lt;br /&gt;
* [http://shodhganga.inflibnet.ac.in/handle/10603/24399 Effective tag recommendation system based on topic ontology] - [[V Subramaniyaswamy]]&lt;br /&gt;
* [http://eprints.ucm.es/24533/ Estrategias de recomendación basadas en conocimiento para la localización personalizada de recursos en repositorios educativos] (Spanish) - [[Almudena Ruiz-Iniesta]]&lt;br /&gt;
* [http://opus4.kobv.de/opus4-tuberlin/frontdoor/index/index/docId/3681 Evaluating the Accuracy and Utility of Recommender Systems] - [[Alan Said]]&lt;br /&gt;
* [http://julian-urbano.info/publications/061-evaluation-audio-music-similarity Evaluation in Audio Music Similarity] - [[Julián Urbano]]&lt;br /&gt;
* [https://biblio.ugent.be/input/download?func=downloadFile&amp;amp;recordOId=4163727&amp;amp;fileOId=4163752 Improved online services by personalized recommendations and optimal quality of experience parameters] - [[Toon De Pessemier]]&lt;br /&gt;
* [http://hdl.handle.net/10059/859 Integrating Content and Semantic Representations for Music Recommendation] - [[Ben Horsburgh]]&lt;br /&gt;
* [http://escholarship.org/uc/item/4xw874p5#page-1 Latent feature models for dyadic prediction] - [[Aditya Krishna Menon]]&lt;br /&gt;
* [http://edok01.tib.uni-hannover.de/edoks/e01dh13/767033973.pdf Living Analytics Methods for the Social Web] - [[Ernesto Diaz-Aviles]]&lt;br /&gt;
* [http://repository.tudelft.nl/assets/uuid:f7d3977e-f191-40d4-8f27-784a32902a55/thesis_yueshi.pdf Ranking and Context-awareness in Recommender Systems] - [[Yue Shi]]&lt;br /&gt;
* [https://repositorio.uam.es/bitstream/handle/10486/14091/66095_campos%20soto%20pedro%20g..pdf Recommender Systems and Time Context: Characterization of a Robust Evaluation Protocol to Increase Reliability of Measured Improvemenets] - [[Pedro Campos]]&lt;br /&gt;
* [http://users.soe.ucsc.edu/~jwang30/index.files/dissertation-Jian.pdf Session Aware Recommender System in E-Commerce] - [[Jian Wang]]&lt;br /&gt;
* [http://doras.dcu.ie/17737/ Social contextuality and conversational recommender systems] - [[Eoin Hurrell]]&lt;br /&gt;
* [http://liris.cnrs.fr/Documents/Liris-6406.pdf Trace-Based Reasoning for User Assistance and Recommendations] - [[Raafat Zarka]]&lt;br /&gt;
* [http://kth.diva-portal.org/smash/record.jsf?pid=diva2:606503 Trust-Based User Profiling] - [[Nima Dokoohaki]]&lt;br /&gt;
* [http://scidok.sulb.uni-saarland.de/volltexte/2013/5528/pdf/Boehmer_2013_MobileApplicationUsage_low.pdf Understanding and supporting mobile application usage] - [[Matthias Böhmer]]&lt;br /&gt;
* [http://d-scholarship.pitt.edu/19733/ User Contrallability in a Hybrid Recommender System] - [[Denis Parra]]&lt;br /&gt;
&lt;br /&gt;
=== 2012 ===&lt;br /&gt;
* [http://library.epfl.ch/en/theses/?nr=5318 Design and User Perception Issues for Personality-Engaged Recommender Systems] - [[Rong Hu]]&lt;br /&gt;
* [http://www.di.uniba.it/~swap/papers/musto_thesis.pdf Enhanced Vector Space Models for Content-based Recommender Systems] - [[Cataldo Musto]]&lt;br /&gt;
* [http://dalspace.library.dal.ca/bitstream/handle/10222/14735/Lipczak,%20Marek,%20PhD,%20CS,%20March%202012.pdf?sequence=5 Hybrid Tag Recommendation in Collaborative Tagging Systems] - [[Marek Lipczak]]&lt;br /&gt;
* [http://gradworks.umi.com/35/05/3505275.html Interaction Methods for Large Scale Graph Visualization Systems --- Using Manipulation to Aid Discovery] - [[Brynjar Gretarsson]]&lt;br /&gt;
* [http://www.evazangerle.at/wp-content/papercite-data/pdf/evaphd.pdf Leveraging Recommender Systems for the Creation and Maintenance of Structure within Collaborative Social Media Platforms] - [[Eva Zangerle]]&lt;br /&gt;
* [https://eldorado.tu-dortmund.de/bitstream/2003/29661/1/Dissertation.pdf Leveraging Tagging Data for Recommender Systems] - [[Fatih Gedikli]]&lt;br /&gt;
* [http://cseweb.ucsd.edu/~bmcfee/papers/bmcfee_dissertation.pdf More like this: machine learning approaches to music similarity] - [[Brian McFee]]&lt;br /&gt;
* [http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-17249 On some Challenges for Online Trust and Reputation Systems] - [[Mozhgan Tavakolifard]]&lt;br /&gt;
* [http://www.l3s.de/~krestel/cmsimple3_2/?Publications:Others:PhD_Thesis_12 On the Use of Language Models and Topic Models in the Web: New Algorithms for Filtering, Classification, Ranking, and Recommendation] - [[Ralf Krestel]]&lt;br /&gt;
* [http://ir.ii.uam.es/~alejandro/thesis/thesis-bellogin.pdf Performance prediction and evaluation in Recommender Systems: an Information Retrieval perspective] - [[Alejandro Bellogin]]&lt;br /&gt;
* [http://eprints.qut.edu.au/59507/1/Noraswaliza_Abdullah_Thesis.pdf Integrating collaborative filtering and matching-based search for product recommendation] - [[Noraswaliza Abdullah]]&lt;br /&gt;
* [http://www.uns.ac.rs/sr/doktorske/aleksandraKlasnjaMilicevic/disertacija.pdf Personalized Recommendation Based on Collaborative Tagging Techniques for an E-learning System] - [[Aleksandra Klašnja‐Milićević]]&lt;br /&gt;
* [http://arxiv.org/pdf/1203.4487v2 Recommender systems in industrial contexts] - [[Frank Meyer]]&lt;br /&gt;
* [http://opus.bsz-bw.de/ubhi/volltexte/2012/167/pdf/item_recommendation.pdf Supervised Machine Learning Methods for Item Recommendation] - [[Zeno Gantner]]&lt;br /&gt;
* [http://gradworks.umi.com/35/23/3523081.html Understanding Consistency of Recommender Systems: Behavioral and Algorithmic Perspectives] - [[Jingjing Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2011 ===&lt;br /&gt;
* [http://users.cecs.anu.edu.au/~sguo/thesis.pdf Bayesian Recommender Systems: Models and Algorithms] - [[Shengbo Guo]]&lt;br /&gt;
* [http://www.inf.unibz.it/~lbaltrunas/doc/linas_phd_thesis.pdf Context-Aware Collaborative Filtering Recommender Systems] - [[Linas Baltrunas]]&lt;br /&gt;
* [http://benfields.net/bfields_thesis.pdf Contextualize Your Listening: The Playlist as Recommendation Engine] - [[Ben Fields]]&lt;br /&gt;
* [http://www.eric.ed.gov/ERICWebPortal/search/detailmini.jsp?_nfpb=true&amp;amp;_&amp;amp;ERICExtSearch_SearchValue_0=ED534217&amp;amp;ERICExtSearch_SearchType_0=no&amp;amp;accno=ED534217 Deployment of Recommender Systems: Operational and Strategic Issues] - [[Abhijeet Ghoshal]]&lt;br /&gt;
* [http://espace.library.uq.edu.au/view/UQ:263213 Effective and Efficient Collaborative Filtering] - [[Yi Ding]]&lt;br /&gt;
* [http://www.cse.cuhk.edu.hk/lyu/_media/students/thesisxin9.pdf Effective Fusion-based Approaches for Recommender Systems] - [[Xin Xin]]&lt;br /&gt;
* [http://www.aka-verlag.com/de/detail?ean=978-3-89838-332-5 Formal Concept Analysis and Tag Recommendations in Collaborative Tagging Systems] - [[Robert Jäschke]]&lt;br /&gt;
* [http://uclab.khu.ac.kr/resources/thesis/PhD_Thesis_Weiwei.pdf Improved Trust-Aware Recommender System using Small-Worldness of Trust Networks] - [[Weiwei Yuan]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/117321 Personalized Recommendation in Social Network Sites] - [[Jilin Chen]]&lt;br /&gt;
* [http://lac-repo-live7.is.ed.ac.uk/bitstream/1842/5770/1/Givon2011.pdf Predicting and using social tags to improve the accuracy and transparency of recommender systems] - [[Sharon Givon]]&lt;br /&gt;
* [http://slavnik.fe.uni-lj.si/markot/uploads/Main/2010_tkalcic_phd.pdf Recognition and usage of emotive parameters in recommender systems] - [[Marko Tkalčič]]&lt;br /&gt;
* [http://gradworks.umi.com/34/79/3479962.html Swarm intellilgence for clustering dynamic data sets for web usage mining and personalization] - [[Esin Saka]]&lt;br /&gt;
* [http://eprints.qut.edu.au/41879/1/Huizhi_Liang_Thesis.pdf User profiling based on folksonomy information in Web 2.0 for personalized recommender systems] - [[Huizhi Liang]]&lt;br /&gt;
* [http://eprints.qut.edu.au/49168/1/Touhid_Bhuiyan_Thesis.pdf Trust-based automated recommendation making] - [[Touhid Bhuiyan]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/1687272 Using Data Mining for Facilitating User Contributions in the Social Semantic Web] - [[Maryam Ramezani]]&lt;br /&gt;
* [http://gradworks.umi.com/34/49/3449549.html Visualization of music relational information sources for analysis, navigation, and discovery] - [[Justin Donaldson]]&lt;br /&gt;
&lt;br /&gt;
=== 2010 ===&lt;br /&gt;
* [http://www.amazon.com/Domain-Independent-Framework-Intelligent-Recommendations-Application/dp/3838113756 A Domain-Independent Framework for Intelligent Recommendations] - [[Jörn David]]&lt;br /&gt;
* [http://www.cp.jku.at/people/seyerlehner/supervised/seyerlehner_phd.pdf Content-Based Music Recommender Systems: Beyond simple Frame-Level Audio Similarity] - [[Klaus Seyerlehner]]&lt;br /&gt;
* [http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-642-16897-0 Context-Aware Ranking with Factorization Models] - [[Steffen Rendle]]&lt;br /&gt;
* [http://www.cs.ucl.ac.uk/staff/n.lathia/thesis.html Evaluating Collaborative Filtering Over Time] - [[Neal Lathia]]&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2010/2695/pdf/wetzker_robert.pdf Graph-Based Recommendation in Broad Folksonomies] - [[Robert Wetzker]]&lt;br /&gt;
* [http://lib.tkk.fi/Diss/2010/isbn9789526031514/isbn9789526031514.pdf Methods and Applications for Ontology-based Recommender Systems] - [[Tuukka Ruotsalo]]&lt;br /&gt;
* [http://theses.gla.ac.uk/2132/01/2010hopfgartner1phd.pdf Personalised video retrieval: application of implicit feedback and semantic user profiles] - [[Frank Hopfgartner]]&lt;br /&gt;
* [http://www.dsc.ufcg.edu.br/~lbmarinho/homepage/pub/thesis_marinho.pdf Recommender Systems for Social Tagging Systems] - [[Leandro Balby Marinho]]&lt;br /&gt;
* [http://www.verlagdrkovac.de/3-8300-5081-X.htm Recommender Systeme für produktbegleitende Dienstleistungen] - [[Margarethe Frohs]]&lt;br /&gt;
* [http://wrap.warwick.ac.uk/3759/1/WRAP_THESIS_Li_2010.pdf Relational clustering models for knowledge discovery and recommender systems] - [[Tao Li]]&lt;br /&gt;
* [https://biblio.ugent.be/publication/986279/file/1886805.pdf Trust networks for recommender systems] - [[Patricia Victor]]&lt;br /&gt;
* [http://gradworks.umi.com/34/70/3470158.html User session and history modeling for collaborative visualization] - [[Fanhai Yang]]&lt;br /&gt;
&lt;br /&gt;
== 2000-2009 ==&lt;br /&gt;
=== 2009 ===&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2009/2245/pdf/lommatzsch_andreas.pdf Eine offene Architektur für die agentenbasierte, adaptive, personalisierte Informationsfilterung] (German) - [[Andreas Lommatzsch]]&lt;br /&gt;
* [http://www.abdn.ac.uk/~csc284/Nava%20Tintarev_PhD_Thesis_%282010%29.pdf Explaining recommendations] - [[Nava Tintarev]]&lt;br /&gt;
* [http://www.omikk.bme.hu/collections/phd/Villamosmernoki_es_Informatikai_Kar/2010/Pilaszy_Istvan/ertekezes.pdf Factorization-Based Large Scale Recommendation Algorithms] - [[István Pilászy]]&lt;br /&gt;
* [http://www.shilad.com/shilads_thesis.pdf Nurturing Tagging Communities] - [[Shilad Sen]]&lt;br /&gt;
* [http://repository.upenn.edu/dissertations/AAI3363295/ Recommender systems and market diversity] - [[Daniel M. Fleder]]&lt;br /&gt;
* [http://itlab.dbit.dk/~toine/?page_id=6 Recommender Systems for Social Bookmarking] - [[Toine Bogers]]&lt;br /&gt;
* [http://svn.egovmon.no/svn/phdgoodwin/thesis/referenceexample/MMR_thesis_afterDefense.pdf Towards Efficient Music Similarity Search, Ranking, and Recommendation] - [[Maria Magdalena Ruxanda]]&lt;br /&gt;
&lt;br /&gt;
=== 2008 ===&lt;br /&gt;
* [http://essay.utwente.nl/59711/1/MA_thesis_J_de_Wit.pdf Evaluating recommender systems : an evaluation framework to predict user satisfaction for recommender systems in an electronic programme guide context] - [[Joost de Wit]]&lt;br /&gt;
* [http://arantxa.ii.uam.es/~cantador/doc/2008/thesis08.zip Exploiting the Conceptual Space in Hybrid Recommender Systems: a Semantic-based Approach] - [[Iván Cantador]]&lt;br /&gt;
* [http://eprints.qut.edu.au/29165/2/Li-Tung_Weng_Thesis.pdf Information Enrichment for Quality Recommender Systems] - [[Li-Tung Weng]]&lt;br /&gt;
* [http://tomheath.com/thesis/html Information-seeking on the Web with Trusted Social Networks – from Theory to Systems] - [[Tom Heath]]&lt;br /&gt;
* [http://www.cs.umass.edu/~marlin/research/phd_thesis/marlin-phd-thesis.pdf Missing Data Problems in Machine Learning] - [[Benjamin Marlin]]&lt;br /&gt;
* [http://mtg.upf.edu/node/1217 Music Recommendation and Discovery in the Long Tail] - [[Òscar Celma]]&lt;br /&gt;
* [http://hal.inria.fr/docs/00/34/83/70/PDF/TeseFinal.pdf Recommender System based on Personality Traits] - [[Maria Augusta Silveira Netto Nunes]]&lt;br /&gt;
* [http://winnie.kuis.kyoto-u.ac.jp/members/yoshii/d-thesis-yoshii.pdf Studies on Hybrid Music Recommendation Using Timbral and Rhythmic Features] - [[Kazuyoshi Yoshii]]&lt;br /&gt;
* [http://www.peterlang.com/index.cfm?event=cmp.ccc.seitenstruktur.detailseiten&amp;amp;seitentyp=produkt&amp;amp;pk=56341&amp;amp;cid=367 Towards Metadata-aware Algorithms for Recommender Systems] - [[Karen H. L. Tso-Sutter]]&lt;br /&gt;
* [http://hci.epfl.ch/members/lichen/EPFL_TH4140.pdf User Decision Improvement and Trust Building in Product Recommender Systems] - [[Li Chen]]&lt;br /&gt;
&lt;br /&gt;
=== 2007 ===&lt;br /&gt;
* [http://www.ulrichpaquet.com/Papers/PhDThesis.pdf Bayesian Inference for Latent Variable Models] - [[Ulrich Paquet]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~arashid/thesis.pdf Mining Influence in Recommender Systems] - [[Al Mamunur Rashid]]&lt;br /&gt;
* [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.91.2714&amp;amp;rep=rep1&amp;amp;type=pdf Building Trustworthy Recommender Systems] - [[Sheng Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2006 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1269509 Designing social interactions with animated avatars and speech output for product recommendation agents in electronic commerce] - [[Lingyun Qiu]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~mcnee/mcnee-thesis-preprint.pdf Meeting User Information Needs in Recommender Systems] - [[Sean McNee]]&lt;br /&gt;
&lt;br /&gt;
=== 2005 ===&lt;br /&gt;
* [http://eprints.ecs.soton.ac.uk/10692/1/wei-phd-thesis.pdf A Market-Based Approach to Recommender Systems] - [[Yan Zheng Wei]]&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1123874 Explanet: a learning tool and hybrid recommender system for student-authored explanations] - [[Jessica Masters]]&lt;br /&gt;
* Hybrid recommendation techniques based on user profiles - [[Pasquale Lops]]&lt;br /&gt;
* [http://www.princeton.edu/~smorris/pdfs/PhD/Ozmen.pdf Information Transmission and Recommender Systems] - [[Deran Özmen]]&lt;br /&gt;
* [https://doc.telin.nl/dsweb/Get/Document-56873 Supporting People In Finding Information: Hybrid Recommender Systems and Goal-Based Structuring] - [[Mark van Setten]]&lt;br /&gt;
* [http://www.freidok.uni-freiburg.de/volltexte/1804/pdf/Thesis.pdf Towards Decentralized Recommender Systems] - [[Cai-Nicolas Ziegler]]&lt;br /&gt;
* [http://dspace.mit.edu/bitstream/handle/1721.1/31137/61184336.pdf?sequence=1 Use of Discrete Choice Models with Recommender Systems] - [[Bassam H. Chaptini]]&lt;br /&gt;
&lt;br /&gt;
=== 2004 ===&lt;br /&gt;
&lt;br /&gt;
=== 2003 ===&lt;br /&gt;
* [http://eia.udg.es/~mmontane/montaner-thesis03.pdf Collaborative recommender agents based on case-based reasoning and trust] - [[Miquel Montaner]]&lt;br /&gt;
* [https://circle.ubc.ca/bitstream/handle/2429/14933/ubc_2003-859525.pdf?sequence=1 The Impact of Internalization and Familiarity on Trust and Adoption of Recommendation Agents] - [[Sherrie Komiak]]&lt;br /&gt;
* [http://knuth.luther.edu/~bmiller/Papers/thesis.pdf Toward a Personal Recommender System] - [[Bradley N. Miller]]&lt;br /&gt;
&lt;br /&gt;
=== 2002 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=935978 Recommendation as classification and recommendation as matching: two information-centered approaches to recommendation] - [[Chumki Basu]]&lt;br /&gt;
&lt;br /&gt;
=== 2001 ===&lt;br /&gt;
* [http://www.patrickbaudisch.com/publications/2001-Baudisch-Dissertation-DynamicInformationFiltering.pdf Dynamic Information Filtering] - [[Patrick Baudisch]]&lt;br /&gt;
* [http://www.cs.uni.edu/~schafer/publications/schafer_thesis.pdf MetaLens: A Framework for Multsource Recommendations] - [[Ben Schafer]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~sarwar/thesis.ps Sparsity, scalability, and distribution in recommender systems] - [[Badrul Munir Sarwar]]&lt;br /&gt;
&lt;br /&gt;
=== 2000 ===&lt;br /&gt;
&lt;br /&gt;
== 1990s ==&lt;br /&gt;
&lt;br /&gt;
=== 1999 ===&lt;br /&gt;
&lt;br /&gt;
=== 1998 ===&lt;br /&gt;
&lt;br /&gt;
=== 1997 ===&lt;br /&gt;
* Recommender Systems for Problem Solving Environments - [[Naren Ramakrishnan]]&lt;br /&gt;
&lt;br /&gt;
== External links ==&lt;br /&gt;
* [http://pampalk.at/mir-phds/ PhD Theses and Doctoral Dissertations Related to Music Information Retrieval]&lt;br /&gt;
* [http://www.mendeley.com/groups/3058301/recommender-system-dissertations/papers/ Mendeley collection of Recommender System dissertations] (based on this page)&lt;br /&gt;
&lt;br /&gt;
[[Category: List|Dissertation]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2438</id>
		<title>List of recommender system dissertations</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2438"/>
		<updated>2020-09-25T19:16:43Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Recommender systems]] related '''''doctoral''''' dissertations by year. For other types of theses see:&lt;br /&gt;
* [[List of recommender systems master's theses]]&lt;br /&gt;
* [[List of recommender systems bachelor's theses]]&lt;br /&gt;
&lt;br /&gt;
Dissertation within a year are sorted alphabetically by title.&lt;br /&gt;
&lt;br /&gt;
== 2010-2019 ==&lt;br /&gt;
=== 2019 ===&lt;br /&gt;
* [https://research.tue.nl/files/119737279/20190226_CO_Starke.pdf Supporting energy-efficient choices using Rasch-based recommender interfaces] - [[Alain Starke]]&lt;br /&gt;
&lt;br /&gt;
=== 2018 ===&lt;br /&gt;
* [https://research.tue.nl/files/126497389/20180524_Graus.pdf From behavior-centered to user-centered : incorporating psychological knowledge and user feedback in personalization] - [[Mark Graus]]&lt;br /&gt;
&lt;br /&gt;
=== 2017 ===&lt;br /&gt;
* [https://www.politesi.polimi.it/bitstream/10589/135782/1/thesis.pdf Algorithms for Sequence-aware Recommender Systems] - [[Massimo Quadrana]]&lt;br /&gt;
&lt;br /&gt;
=== 2016 ===&lt;br /&gt;
* [https://www.jku.at/fileadmin/gruppen/173/Research/Ferwerda_Dissertation_final-komprimiert.pdf Improving the User Experience of Music Recommender Systems Through Personality and Cultural Information] - [[Bruce Ferwerda]]&lt;br /&gt;
&lt;br /&gt;
=== 2015 ===&lt;br /&gt;
* [http://yu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002052536 A Weighted User Similarity Model for Cold Start Recommendations] - [[Parivash Pirasteh]]&lt;br /&gt;
* [http://krex.k-state.edu/dspace/bitstream/handle/2097/19779/RohitParimi2015.pdf?sequence=6&amp;amp;isAllowed=y Collaborative Filtering Approaches for Single-domains and Cross-domain Recommender Systems] - [[Rohit Parimi]]&lt;br /&gt;
* [http://ir.ii.uam.es/saul/saulvargas-thesis.pdf Novelty and Diversity Evaluation and Enhancement in Recommender Systems] - [[Saúl Vargas]]&lt;br /&gt;
* [http://docear.org/papers/Towards%20Effective%20Research-Paper%20Recommender%20Systems%20and%20User%20Modeling%20based%20on%20Mind%20Maps.pdf Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Maps] - Joeran Beel&lt;br /&gt;
&lt;br /&gt;
=== 2014 ===&lt;br /&gt;
* [http://scholarlyrepository.miami.edu/cgi/viewcontent.cgi?article=2209&amp;amp;context=oa_dissertations A Model-Based Music Recommendation System for Individual Users and Implicit User Groups] - [[Yajie Hu]] &lt;br /&gt;
* [https://boa.unimib.it/retrieve/handle/10281/70560/104693/PhD_unimib_%20%09732150%20.pdf Advancing Recommender Systems from the Algorithm, Interface and Methodological Perspective] - [[Marco Rossetti]]&lt;br /&gt;
* [http://infoscience.epfl.ch/record/199806 Aggregating Information from the Crowd: ratings, recommendations and predictions] - [[Florent Garcin]]&lt;br /&gt;
* [http://wanlab.poly.edu/xiwang/doc/thesis.pdf Collaborative Filtering Based Social Recommender Systems] - [[Xiwang Yang]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/3158723 Cross-domain Recommendations based on semantically-enhanced User Web Behavior] - [[Julia Hoxha]] &lt;br /&gt;
* [http://www.win.tue.nl/ipa/?event=cryptographically-enhanced-privacy-for-recommender-systems Cryptographically-Enhanced Privacy for Recommender Systems] - [[Arjan Jeckmans]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/11299/167084 Database management system support for collaborative filtering recommender systems] - [[Mohamed Sarwat]]&lt;br /&gt;
* [https://www.researchgate.net/publication/292991578_Empirical_Evaluation_of_Active_Learning_Strategies_in_Collaborative_Filtering Empirical Evaluation of Active Learning Strategies in Collaborative Filtering] - [[Mehdi Elahi]]&lt;br /&gt;
* [http://bit.ly/simonphd Dynamic Generation of Personalized Hybrid Recommender Systems] - [[Simon Dooms]]&lt;br /&gt;
* Enhancing Discovery in Geoportals: Geo-Enrichment, Semantic Enhancement and Recommendation Strategies for Geo-Information Discovery - [[Bernhard Vockner]]&lt;br /&gt;
* [http://www.lsi.upc.edu/~vcodina/phd.pdf Exploiting Distributional Semantics for Content-Based and Context-Aware Recommendation] - [[Victor Codina]]&lt;br /&gt;
* [http://micheletrevisiol.com/data/Exploiting_Implicit_User_Activity_for_Media_Recommendation.pdf Exploiting Implicit User Activity for Media Recommendation] - [[Michele Trevisiol]]&lt;br /&gt;
* [http://arks.princeton.edu/ark:/88435/dsp01nv935299q Information Aggregation in Quantized Consensus, Recommender Systems, and Ranking] - [[Shang Shang]]&lt;br /&gt;
* [http://repository.lib.ncsu.edu/ir/bitstream/1840.16/9727/1/etd.pdf More Usable Recommendation Systems for Improving Software Quality] - [[Yoonki Song]]&lt;br /&gt;
* [http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=2550&amp;amp;context=etd Next Generation of Recommender Systems: Algorithms and Applications] - [[Lei Li]]&lt;br /&gt;
* [https://tel.archives-ouvertes.fr/tel-01135312/document Privacy-enabled scalable recommender systems] -[[Andrés Moreno]]&lt;br /&gt;
* [http://ethesis.unifr.ch/theses/downloads.php?file=TeranL.pdf SmartParticipation: A Fuzzy-Based Recommender System for Political Community-Building] - [[Luis Fernando Terán Tamayo]]&lt;br /&gt;
* [http://elehack.net/research/thesis/ Towards Recommender Engineering: Tools and Experiments for Identifying Recommender Differences] - [[Michael Ekstrand]]&lt;br /&gt;
* [http://tampub.uta.fi/bitstream/handle/10024/95965/978-951-44-9551-9.pdf User Factors in Recommender Systems: Case Studies in e-Commerce, News Recommending, and e-Learning] - [[Juha Leino]]&lt;br /&gt;
&lt;br /&gt;
=== 2013 ===&lt;br /&gt;
* [http://interactivesystems.info/publications/a-conceptual-model-and-a-software-framework-for-developing-context-aware-hybrid-recommender-systems A conceptual model and a software framework for developing context aware hybrid recommender systems] - [[Tim Hussein]]&lt;br /&gt;
* [http://shodhganga.inflibnet.ac.in/handle/10603/24399 Effective tag recommendation system based on topic ontology] - [[V Subramaniyaswamy]]&lt;br /&gt;
* [http://eprints.ucm.es/24533/ Estrategias de recomendación basadas en conocimiento para la localización personalizada de recursos en repositorios educativos] (Spanish) - [[Almudena Ruiz-Iniesta]]&lt;br /&gt;
* [http://opus4.kobv.de/opus4-tuberlin/frontdoor/index/index/docId/3681 Evaluating the Accuracy and Utility of Recommender Systems] - [[Alan Said]]&lt;br /&gt;
* [http://julian-urbano.info/publications/061-evaluation-audio-music-similarity Evaluation in Audio Music Similarity] - [[Julián Urbano]]&lt;br /&gt;
* [https://biblio.ugent.be/input/download?func=downloadFile&amp;amp;recordOId=4163727&amp;amp;fileOId=4163752 Improved online services by personalized recommendations and optimal quality of experience parameters] - [[Toon De Pessemier]]&lt;br /&gt;
* [http://hdl.handle.net/10059/859 Integrating Content and Semantic Representations for Music Recommendation] - [[Ben Horsburgh]]&lt;br /&gt;
* [http://escholarship.org/uc/item/4xw874p5#page-1 Latent feature models for dyadic prediction] - [[Aditya Krishna Menon]]&lt;br /&gt;
* [http://edok01.tib.uni-hannover.de/edoks/e01dh13/767033973.pdf Living Analytics Methods for the Social Web] - [[Ernesto Diaz-Aviles]]&lt;br /&gt;
* [http://repository.tudelft.nl/assets/uuid:f7d3977e-f191-40d4-8f27-784a32902a55/thesis_yueshi.pdf Ranking and Context-awareness in Recommender Systems] - [[Yue Shi]]&lt;br /&gt;
* [https://repositorio.uam.es/bitstream/handle/10486/14091/66095_campos%20soto%20pedro%20g..pdf Recommender Systems and Time Context: Characterization of a Robust Evaluation Protocol to Increase Reliability of Measured Improvemenets] - [[Pedro Campos]]&lt;br /&gt;
* [http://users.soe.ucsc.edu/~jwang30/index.files/dissertation-Jian.pdf Session Aware Recommender System in E-Commerce] - [[Jian Wang]]&lt;br /&gt;
* [http://doras.dcu.ie/17737/ Social contextuality and conversational recommender systems] - [[Eoin Hurrell]]&lt;br /&gt;
* [http://liris.cnrs.fr/Documents/Liris-6406.pdf Trace-Based Reasoning for User Assistance and Recommendations] - [[Raafat Zarka]]&lt;br /&gt;
* [http://kth.diva-portal.org/smash/record.jsf?pid=diva2:606503 Trust-Based User Profiling] - [[Nima Dokoohaki]]&lt;br /&gt;
* [http://scidok.sulb.uni-saarland.de/volltexte/2013/5528/pdf/Boehmer_2013_MobileApplicationUsage_low.pdf Understanding and supporting mobile application usage] - [[Matthias Böhmer]]&lt;br /&gt;
* [http://d-scholarship.pitt.edu/19733/ User Contrallability in a Hybrid Recommender System] - [[Denis Parra]]&lt;br /&gt;
&lt;br /&gt;
=== 2012 ===&lt;br /&gt;
* [http://library.epfl.ch/en/theses/?nr=5318 Design and User Perception Issues for Personality-Engaged Recommender Systems] - [[Rong Hu]]&lt;br /&gt;
* [http://www.di.uniba.it/~swap/papers/musto_thesis.pdf Enhanced Vector Space Models for Content-based Recommender Systems] - [[Cataldo Musto]]&lt;br /&gt;
* [http://dalspace.library.dal.ca/bitstream/handle/10222/14735/Lipczak,%20Marek,%20PhD,%20CS,%20March%202012.pdf?sequence=5 Hybrid Tag Recommendation in Collaborative Tagging Systems] - [[Marek Lipczak]]&lt;br /&gt;
* [http://gradworks.umi.com/35/05/3505275.html Interaction Methods for Large Scale Graph Visualization Systems --- Using Manipulation to Aid Discovery] - [[Brynjar Gretarsson]]&lt;br /&gt;
* [http://www.evazangerle.at/wp-content/papercite-data/pdf/evaphd.pdf Leveraging Recommender Systems for the Creation and Maintenance of Structure within Collaborative Social Media Platforms] - [[Eva Zangerle]]&lt;br /&gt;
* [https://eldorado.tu-dortmund.de/bitstream/2003/29661/1/Dissertation.pdf Leveraging Tagging Data for Recommender Systems] - [[Fatih Gedikli]]&lt;br /&gt;
* [http://cseweb.ucsd.edu/~bmcfee/papers/bmcfee_dissertation.pdf More like this: machine learning approaches to music similarity] - [[Brian McFee]]&lt;br /&gt;
* [http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-17249 On some Challenges for Online Trust and Reputation Systems] - [[Mozhgan Tavakolifard]]&lt;br /&gt;
* [http://www.l3s.de/~krestel/cmsimple3_2/?Publications:Others:PhD_Thesis_12 On the Use of Language Models and Topic Models in the Web: New Algorithms for Filtering, Classification, Ranking, and Recommendation] - [[Ralf Krestel]]&lt;br /&gt;
* [http://ir.ii.uam.es/~alejandro/thesis/thesis-bellogin.pdf Performance prediction and evaluation in Recommender Systems: an Information Retrieval perspective] - [[Alejandro Bellogin]]&lt;br /&gt;
* [http://eprints.qut.edu.au/59507/1/Noraswaliza_Abdullah_Thesis.pdf Integrating collaborative filtering and matching-based search for product recommendation] - [[Noraswaliza Abdullah]]&lt;br /&gt;
* [http://www.uns.ac.rs/sr/doktorske/aleksandraKlasnjaMilicevic/disertacija.pdf Personalized Recommendation Based on Collaborative Tagging Techniques for an E-learning System] - [[Aleksandra Klašnja‐Milićević]]&lt;br /&gt;
* [http://arxiv.org/pdf/1203.4487v2 Recommender systems in industrial contexts] - [[Frank Meyer]]&lt;br /&gt;
* [http://opus.bsz-bw.de/ubhi/volltexte/2012/167/pdf/item_recommendation.pdf Supervised Machine Learning Methods for Item Recommendation] - [[Zeno Gantner]]&lt;br /&gt;
* [http://gradworks.umi.com/35/23/3523081.html Understanding Consistency of Recommender Systems: Behavioral and Algorithmic Perspectives] - [[Jingjing Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2011 ===&lt;br /&gt;
* [http://users.cecs.anu.edu.au/~sguo/thesis.pdf Bayesian Recommender Systems: Models and Algorithms] - [[Shengbo Guo]]&lt;br /&gt;
* [http://www.inf.unibz.it/~lbaltrunas/doc/linas_phd_thesis.pdf Context-Aware Collaborative Filtering Recommender Systems] - [[Linas Baltrunas]]&lt;br /&gt;
* [http://benfields.net/bfields_thesis.pdf Contextualize Your Listening: The Playlist as Recommendation Engine] - [[Ben Fields]]&lt;br /&gt;
* [http://www.eric.ed.gov/ERICWebPortal/search/detailmini.jsp?_nfpb=true&amp;amp;_&amp;amp;ERICExtSearch_SearchValue_0=ED534217&amp;amp;ERICExtSearch_SearchType_0=no&amp;amp;accno=ED534217 Deployment of Recommender Systems: Operational and Strategic Issues] - [[Abhijeet Ghoshal]]&lt;br /&gt;
* [http://espace.library.uq.edu.au/view/UQ:263213 Effective and Efficient Collaborative Filtering] - [[Yi Ding]]&lt;br /&gt;
* [http://www.cse.cuhk.edu.hk/lyu/_media/students/thesisxin9.pdf Effective Fusion-based Approaches for Recommender Systems] - [[Xin Xin]]&lt;br /&gt;
* [http://www.aka-verlag.com/de/detail?ean=978-3-89838-332-5 Formal Concept Analysis and Tag Recommendations in Collaborative Tagging Systems] - [[Robert Jäschke]]&lt;br /&gt;
* [http://uclab.khu.ac.kr/resources/thesis/PhD_Thesis_Weiwei.pdf Improved Trust-Aware Recommender System using Small-Worldness of Trust Networks] - [[Weiwei Yuan]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/117321 Personalized Recommendation in Social Network Sites] - [[Jilin Chen]]&lt;br /&gt;
* [http://lac-repo-live7.is.ed.ac.uk/bitstream/1842/5770/1/Givon2011.pdf Predicting and using social tags to improve the accuracy and transparency of recommender systems] - [[Sharon Givon]]&lt;br /&gt;
* [http://slavnik.fe.uni-lj.si/markot/uploads/Main/2010_tkalcic_phd.pdf Recognition and usage of emotive parameters in recommender systems] - [[Marko Tkalčič]]&lt;br /&gt;
* [http://gradworks.umi.com/34/79/3479962.html Swarm intellilgence for clustering dynamic data sets for web usage mining and personalization] - [[Esin Saka]]&lt;br /&gt;
* [http://eprints.qut.edu.au/41879/1/Huizhi_Liang_Thesis.pdf User profiling based on folksonomy information in Web 2.0 for personalized recommender systems] - [[Huizhi Liang]]&lt;br /&gt;
* [http://eprints.qut.edu.au/49168/1/Touhid_Bhuiyan_Thesis.pdf Trust-based automated recommendation making] - [[Touhid Bhuiyan]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/1687272 Using Data Mining for Facilitating User Contributions in the Social Semantic Web] - [[Maryam Ramezani]]&lt;br /&gt;
* [http://gradworks.umi.com/34/49/3449549.html Visualization of music relational information sources for analysis, navigation, and discovery] - [[Justin Donaldson]]&lt;br /&gt;
&lt;br /&gt;
=== 2010 ===&lt;br /&gt;
* [http://www.amazon.com/Domain-Independent-Framework-Intelligent-Recommendations-Application/dp/3838113756 A Domain-Independent Framework for Intelligent Recommendations] - [[Jörn David]]&lt;br /&gt;
* [http://www.cp.jku.at/people/seyerlehner/supervised/seyerlehner_phd.pdf Content-Based Music Recommender Systems: Beyond simple Frame-Level Audio Similarity] - [[Klaus Seyerlehner]]&lt;br /&gt;
* [http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-642-16897-0 Context-Aware Ranking with Factorization Models] - [[Steffen Rendle]]&lt;br /&gt;
* [http://www.cs.ucl.ac.uk/staff/n.lathia/thesis.html Evaluating Collaborative Filtering Over Time] - [[Neal Lathia]]&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2010/2695/pdf/wetzker_robert.pdf Graph-Based Recommendation in Broad Folksonomies] - [[Robert Wetzker]]&lt;br /&gt;
* [http://lib.tkk.fi/Diss/2010/isbn9789526031514/isbn9789526031514.pdf Methods and Applications for Ontology-based Recommender Systems] - [[Tuukka Ruotsalo]]&lt;br /&gt;
* [http://theses.gla.ac.uk/2132/01/2010hopfgartner1phd.pdf Personalised video retrieval: application of implicit feedback and semantic user profiles] - [[Frank Hopfgartner]]&lt;br /&gt;
* [http://www.dsc.ufcg.edu.br/~lbmarinho/homepage/pub/thesis_marinho.pdf Recommender Systems for Social Tagging Systems] - [[Leandro Balby Marinho]]&lt;br /&gt;
* [http://www.verlagdrkovac.de/3-8300-5081-X.htm Recommender Systeme für produktbegleitende Dienstleistungen] - [[Margarethe Frohs]]&lt;br /&gt;
* [http://wrap.warwick.ac.uk/3759/1/WRAP_THESIS_Li_2010.pdf Relational clustering models for knowledge discovery and recommender systems] - [[Tao Li]]&lt;br /&gt;
* [https://biblio.ugent.be/publication/986279/file/1886805.pdf Trust networks for recommender systems] - [[Patricia Victor]]&lt;br /&gt;
* [http://gradworks.umi.com/34/70/3470158.html User session and history modeling for collaborative visualization] - [[Fanhai Yang]]&lt;br /&gt;
&lt;br /&gt;
=== 2009 ===&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2009/2245/pdf/lommatzsch_andreas.pdf Eine offene Architektur für die agentenbasierte, adaptive, personalisierte Informationsfilterung] (German) - [[Andreas Lommatzsch]]&lt;br /&gt;
* [http://www.abdn.ac.uk/~csc284/Nava%20Tintarev_PhD_Thesis_%282010%29.pdf Explaining recommendations] - [[Nava Tintarev]]&lt;br /&gt;
* [http://www.omikk.bme.hu/collections/phd/Villamosmernoki_es_Informatikai_Kar/2010/Pilaszy_Istvan/ertekezes.pdf Factorization-Based Large Scale Recommendation Algorithms] - [[István Pilászy]]&lt;br /&gt;
* [http://www.shilad.com/shilads_thesis.pdf Nurturing Tagging Communities] - [[Shilad Sen]]&lt;br /&gt;
* [http://repository.upenn.edu/dissertations/AAI3363295/ Recommender systems and market diversity] - [[Daniel M. Fleder]]&lt;br /&gt;
* [http://itlab.dbit.dk/~toine/?page_id=6 Recommender Systems for Social Bookmarking] - [[Toine Bogers]]&lt;br /&gt;
* [http://svn.egovmon.no/svn/phdgoodwin/thesis/referenceexample/MMR_thesis_afterDefense.pdf Towards Efficient Music Similarity Search, Ranking, and Recommendation] - [[Maria Magdalena Ruxanda]]&lt;br /&gt;
&lt;br /&gt;
=== 2008 ===&lt;br /&gt;
* [http://essay.utwente.nl/59711/1/MA_thesis_J_de_Wit.pdf Evaluating recommender systems : an evaluation framework to predict user satisfaction for recommender systems in an electronic programme guide context] - [[Joost de Wit]]&lt;br /&gt;
* [http://arantxa.ii.uam.es/~cantador/doc/2008/thesis08.zip Exploiting the Conceptual Space in Hybrid Recommender Systems: a Semantic-based Approach] - [[Iván Cantador]]&lt;br /&gt;
* [http://eprints.qut.edu.au/29165/2/Li-Tung_Weng_Thesis.pdf Information Enrichment for Quality Recommender Systems] - [[Li-Tung Weng]]&lt;br /&gt;
* [http://tomheath.com/thesis/html Information-seeking on the Web with Trusted Social Networks – from Theory to Systems] - [[Tom Heath]]&lt;br /&gt;
* [http://www.cs.umass.edu/~marlin/research/phd_thesis/marlin-phd-thesis.pdf Missing Data Problems in Machine Learning] - [[Benjamin Marlin]]&lt;br /&gt;
* [http://mtg.upf.edu/node/1217 Music Recommendation and Discovery in the Long Tail] - [[Òscar Celma]]&lt;br /&gt;
* [http://hal.inria.fr/docs/00/34/83/70/PDF/TeseFinal.pdf Recommender System based on Personality Traits] - [[Maria Augusta Silveira Netto Nunes]]&lt;br /&gt;
* [http://winnie.kuis.kyoto-u.ac.jp/members/yoshii/d-thesis-yoshii.pdf Studies on Hybrid Music Recommendation Using Timbral and Rhythmic Features] - [[Kazuyoshi Yoshii]]&lt;br /&gt;
* [http://www.peterlang.com/index.cfm?event=cmp.ccc.seitenstruktur.detailseiten&amp;amp;seitentyp=produkt&amp;amp;pk=56341&amp;amp;cid=367 Towards Metadata-aware Algorithms for Recommender Systems] - [[Karen H. L. Tso-Sutter]]&lt;br /&gt;
* [http://hci.epfl.ch/members/lichen/EPFL_TH4140.pdf User Decision Improvement and Trust Building in Product Recommender Systems] - [[Li Chen]]&lt;br /&gt;
&lt;br /&gt;
=== 2007 ===&lt;br /&gt;
* [http://www.ulrichpaquet.com/Papers/PhDThesis.pdf Bayesian Inference for Latent Variable Models] - [[Ulrich Paquet]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~arashid/thesis.pdf Mining Influence in Recommender Systems] - [[Al Mamunur Rashid]]&lt;br /&gt;
* [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.91.2714&amp;amp;rep=rep1&amp;amp;type=pdf Building Trustworthy Recommender Systems] - [[Sheng Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2006 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1269509 Designing social interactions with animated avatars and speech output for product recommendation agents in electronic commerce] - [[Lingyun Qiu]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~mcnee/mcnee-thesis-preprint.pdf Meeting User Information Needs in Recommender Systems] - [[Sean McNee]]&lt;br /&gt;
&lt;br /&gt;
=== 2005 ===&lt;br /&gt;
* [http://eprints.ecs.soton.ac.uk/10692/1/wei-phd-thesis.pdf A Market-Based Approach to Recommender Systems] - [[Yan Zheng Wei]]&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1123874 Explanet: a learning tool and hybrid recommender system for student-authored explanations] - [[Jessica Masters]]&lt;br /&gt;
* Hybrid recommendation techniques based on user profiles - [[Pasquale Lops]]&lt;br /&gt;
* [http://www.princeton.edu/~smorris/pdfs/PhD/Ozmen.pdf Information Transmission and Recommender Systems] - [[Deran Özmen]]&lt;br /&gt;
* [https://doc.telin.nl/dsweb/Get/Document-56873 Supporting People In Finding Information: Hybrid Recommender Systems and Goal-Based Structuring] - [[Mark van Setten]]&lt;br /&gt;
* [http://www.freidok.uni-freiburg.de/volltexte/1804/pdf/Thesis.pdf Towards Decentralized Recommender Systems] - [[Cai-Nicolas Ziegler]]&lt;br /&gt;
* [http://dspace.mit.edu/bitstream/handle/1721.1/31137/61184336.pdf?sequence=1 Use of Discrete Choice Models with Recommender Systems] - [[Bassam H. Chaptini]]&lt;br /&gt;
&lt;br /&gt;
=== 2004 ===&lt;br /&gt;
&lt;br /&gt;
=== 2003 ===&lt;br /&gt;
* [http://eia.udg.es/~mmontane/montaner-thesis03.pdf Collaborative recommender agents based on case-based reasoning and trust] - [[Miquel Montaner]]&lt;br /&gt;
* [https://circle.ubc.ca/bitstream/handle/2429/14933/ubc_2003-859525.pdf?sequence=1 The Impact of Internalization and Familiarity on Trust and Adoption of Recommendation Agents] - [[Sherrie Komiak]]&lt;br /&gt;
* [http://knuth.luther.edu/~bmiller/Papers/thesis.pdf Toward a Personal Recommender System] - [[Bradley N. Miller]]&lt;br /&gt;
&lt;br /&gt;
=== 2002 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=935978 Recommendation as classification and recommendation as matching: two information-centered approaches to recommendation] - [[Chumki Basu]]&lt;br /&gt;
&lt;br /&gt;
=== 2001 ===&lt;br /&gt;
* [http://www.patrickbaudisch.com/publications/2001-Baudisch-Dissertation-DynamicInformationFiltering.pdf Dynamic Information Filtering] - [[Patrick Baudisch]]&lt;br /&gt;
* [http://www.cs.uni.edu/~schafer/publications/schafer_thesis.pdf MetaLens: A Framework for Multsource Recommendations] - [[Ben Schafer]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~sarwar/thesis.ps Sparsity, scalability, and distribution in recommender systems] - [[Badrul Munir Sarwar]]&lt;br /&gt;
&lt;br /&gt;
=== 2000 ===&lt;br /&gt;
&lt;br /&gt;
=== 1999 ===&lt;br /&gt;
&lt;br /&gt;
=== 1998 ===&lt;br /&gt;
&lt;br /&gt;
=== 1997 ===&lt;br /&gt;
* Recommender Systems for Problem Solving Environments - [[Naren Ramakrishnan]]&lt;br /&gt;
&lt;br /&gt;
== External links ==&lt;br /&gt;
* [http://pampalk.at/mir-phds/ PhD Theses and Doctoral Dissertations Related to Music Information Retrieval]&lt;br /&gt;
* [http://www.mendeley.com/groups/3058301/recommender-system-dissertations/papers/ Mendeley collection of Recommender System dissertations] (based on this page)&lt;br /&gt;
&lt;br /&gt;
[[Category: List|Dissertation]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2437</id>
		<title>List of recommender system dissertations</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2437"/>
		<updated>2020-09-25T19:16:11Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Recommender systems]] related '''''doctoral''''' dissertations by year. For other types of theses see:&lt;br /&gt;
* [[List of recommender systems master's theses]]&lt;br /&gt;
* [[List of recommender systems bachelor's theses]]&lt;br /&gt;
&lt;br /&gt;
Dissertation within a year are sorted alphabetically by title.&lt;br /&gt;
&lt;br /&gt;
=== 2019 ===&lt;br /&gt;
* [https://research.tue.nl/files/119737279/20190226_CO_Starke.pdf Supporting energy-efficient choices using Rasch-based recommender interfaces] - [[Alain Starke]]&lt;br /&gt;
&lt;br /&gt;
=== 2018 ===&lt;br /&gt;
* [https://research.tue.nl/files/126497389/20180524_Graus.pdf From behavior-centered to user-centered : incorporating psychological knowledge and user feedback in personalization] - [[Mark Graus]]&lt;br /&gt;
&lt;br /&gt;
=== 2017 ===&lt;br /&gt;
* [https://www.politesi.polimi.it/bitstream/10589/135782/1/thesis.pdf Algorithms for Sequence-aware Recommender Systems] - [[Massimo Quadrana]]&lt;br /&gt;
&lt;br /&gt;
=== 2016 ===&lt;br /&gt;
* [https://www.jku.at/fileadmin/gruppen/173/Research/Ferwerda_Dissertation_final-komprimiert.pdf Improving the User Experience of Music Recommender Systems Through Personality and Cultural Information] - [[Bruce Ferwerda]]&lt;br /&gt;
&lt;br /&gt;
=== 2015 ===&lt;br /&gt;
* [http://yu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002052536 A Weighted User Similarity Model for Cold Start Recommendations] - [[Parivash Pirasteh]]&lt;br /&gt;
* [http://krex.k-state.edu/dspace/bitstream/handle/2097/19779/RohitParimi2015.pdf?sequence=6&amp;amp;isAllowed=y Collaborative Filtering Approaches for Single-domains and Cross-domain Recommender Systems] - [[Rohit Parimi]]&lt;br /&gt;
* [http://ir.ii.uam.es/saul/saulvargas-thesis.pdf Novelty and Diversity Evaluation and Enhancement in Recommender Systems] - [[Saúl Vargas]]&lt;br /&gt;
* [http://docear.org/papers/Towards%20Effective%20Research-Paper%20Recommender%20Systems%20and%20User%20Modeling%20based%20on%20Mind%20Maps.pdf Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Maps] - Joeran Beel&lt;br /&gt;
&lt;br /&gt;
=== 2014 ===&lt;br /&gt;
* [http://scholarlyrepository.miami.edu/cgi/viewcontent.cgi?article=2209&amp;amp;context=oa_dissertations A Model-Based Music Recommendation System for Individual Users and Implicit User Groups] - [[Yajie Hu]] &lt;br /&gt;
* [https://boa.unimib.it/retrieve/handle/10281/70560/104693/PhD_unimib_%20%09732150%20.pdf Advancing Recommender Systems from the Algorithm, Interface and Methodological Perspective] - [[Marco Rossetti]]&lt;br /&gt;
* [http://infoscience.epfl.ch/record/199806 Aggregating Information from the Crowd: ratings, recommendations and predictions] - [[Florent Garcin]]&lt;br /&gt;
* [http://wanlab.poly.edu/xiwang/doc/thesis.pdf Collaborative Filtering Based Social Recommender Systems] - [[Xiwang Yang]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/3158723 Cross-domain Recommendations based on semantically-enhanced User Web Behavior] - [[Julia Hoxha]] &lt;br /&gt;
* [http://www.win.tue.nl/ipa/?event=cryptographically-enhanced-privacy-for-recommender-systems Cryptographically-Enhanced Privacy for Recommender Systems] - [[Arjan Jeckmans]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/11299/167084 Database management system support for collaborative filtering recommender systems] - [[Mohamed Sarwat]]&lt;br /&gt;
* [https://www.researchgate.net/publication/292991578_Empirical_Evaluation_of_Active_Learning_Strategies_in_Collaborative_Filtering Empirical Evaluation of Active Learning Strategies in Collaborative Filtering] - [[Mehdi Elahi]]&lt;br /&gt;
* [http://bit.ly/simonphd Dynamic Generation of Personalized Hybrid Recommender Systems] - [[Simon Dooms]]&lt;br /&gt;
* Enhancing Discovery in Geoportals: Geo-Enrichment, Semantic Enhancement and Recommendation Strategies for Geo-Information Discovery - [[Bernhard Vockner]]&lt;br /&gt;
* [http://www.lsi.upc.edu/~vcodina/phd.pdf Exploiting Distributional Semantics for Content-Based and Context-Aware Recommendation] - [[Victor Codina]]&lt;br /&gt;
* [http://micheletrevisiol.com/data/Exploiting_Implicit_User_Activity_for_Media_Recommendation.pdf Exploiting Implicit User Activity for Media Recommendation] - [[Michele Trevisiol]]&lt;br /&gt;
* [http://arks.princeton.edu/ark:/88435/dsp01nv935299q Information Aggregation in Quantized Consensus, Recommender Systems, and Ranking] - [[Shang Shang]]&lt;br /&gt;
* [http://repository.lib.ncsu.edu/ir/bitstream/1840.16/9727/1/etd.pdf More Usable Recommendation Systems for Improving Software Quality] - [[Yoonki Song]]&lt;br /&gt;
* [http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=2550&amp;amp;context=etd Next Generation of Recommender Systems: Algorithms and Applications] - [[Lei Li]]&lt;br /&gt;
* [https://tel.archives-ouvertes.fr/tel-01135312/document Privacy-enabled scalable recommender systems] -[[Andrés Moreno]]&lt;br /&gt;
* [http://ethesis.unifr.ch/theses/downloads.php?file=TeranL.pdf SmartParticipation: A Fuzzy-Based Recommender System for Political Community-Building] - [[Luis Fernando Terán Tamayo]]&lt;br /&gt;
* [http://elehack.net/research/thesis/ Towards Recommender Engineering: Tools and Experiments for Identifying Recommender Differences] - [[Michael Ekstrand]]&lt;br /&gt;
* [http://tampub.uta.fi/bitstream/handle/10024/95965/978-951-44-9551-9.pdf User Factors in Recommender Systems: Case Studies in e-Commerce, News Recommending, and e-Learning] - [[Juha Leino]]&lt;br /&gt;
&lt;br /&gt;
=== 2013 ===&lt;br /&gt;
* [http://interactivesystems.info/publications/a-conceptual-model-and-a-software-framework-for-developing-context-aware-hybrid-recommender-systems A conceptual model and a software framework for developing context aware hybrid recommender systems] - [[Tim Hussein]]&lt;br /&gt;
* [http://shodhganga.inflibnet.ac.in/handle/10603/24399 Effective tag recommendation system based on topic ontology] - [[V Subramaniyaswamy]]&lt;br /&gt;
* [http://eprints.ucm.es/24533/ Estrategias de recomendación basadas en conocimiento para la localización personalizada de recursos en repositorios educativos] (Spanish) - [[Almudena Ruiz-Iniesta]]&lt;br /&gt;
* [http://opus4.kobv.de/opus4-tuberlin/frontdoor/index/index/docId/3681 Evaluating the Accuracy and Utility of Recommender Systems] - [[Alan Said]]&lt;br /&gt;
* [http://julian-urbano.info/publications/061-evaluation-audio-music-similarity Evaluation in Audio Music Similarity] - [[Julián Urbano]]&lt;br /&gt;
* [https://biblio.ugent.be/input/download?func=downloadFile&amp;amp;recordOId=4163727&amp;amp;fileOId=4163752 Improved online services by personalized recommendations and optimal quality of experience parameters] - [[Toon De Pessemier]]&lt;br /&gt;
* [http://hdl.handle.net/10059/859 Integrating Content and Semantic Representations for Music Recommendation] - [[Ben Horsburgh]]&lt;br /&gt;
* [http://escholarship.org/uc/item/4xw874p5#page-1 Latent feature models for dyadic prediction] - [[Aditya Krishna Menon]]&lt;br /&gt;
* [http://edok01.tib.uni-hannover.de/edoks/e01dh13/767033973.pdf Living Analytics Methods for the Social Web] - [[Ernesto Diaz-Aviles]]&lt;br /&gt;
* [http://repository.tudelft.nl/assets/uuid:f7d3977e-f191-40d4-8f27-784a32902a55/thesis_yueshi.pdf Ranking and Context-awareness in Recommender Systems] - [[Yue Shi]]&lt;br /&gt;
* [https://repositorio.uam.es/bitstream/handle/10486/14091/66095_campos%20soto%20pedro%20g..pdf Recommender Systems and Time Context: Characterization of a Robust Evaluation Protocol to Increase Reliability of Measured Improvemenets] - [[Pedro Campos]]&lt;br /&gt;
* [http://users.soe.ucsc.edu/~jwang30/index.files/dissertation-Jian.pdf Session Aware Recommender System in E-Commerce] - [[Jian Wang]]&lt;br /&gt;
* [http://doras.dcu.ie/17737/ Social contextuality and conversational recommender systems] - [[Eoin Hurrell]]&lt;br /&gt;
* [http://liris.cnrs.fr/Documents/Liris-6406.pdf Trace-Based Reasoning for User Assistance and Recommendations] - [[Raafat Zarka]]&lt;br /&gt;
* [http://kth.diva-portal.org/smash/record.jsf?pid=diva2:606503 Trust-Based User Profiling] - [[Nima Dokoohaki]]&lt;br /&gt;
* [http://scidok.sulb.uni-saarland.de/volltexte/2013/5528/pdf/Boehmer_2013_MobileApplicationUsage_low.pdf Understanding and supporting mobile application usage] - [[Matthias Böhmer]]&lt;br /&gt;
* [http://d-scholarship.pitt.edu/19733/ User Contrallability in a Hybrid Recommender System] - [[Denis Parra]]&lt;br /&gt;
&lt;br /&gt;
=== 2012 ===&lt;br /&gt;
* [http://library.epfl.ch/en/theses/?nr=5318 Design and User Perception Issues for Personality-Engaged Recommender Systems] - [[Rong Hu]]&lt;br /&gt;
* [http://www.di.uniba.it/~swap/papers/musto_thesis.pdf Enhanced Vector Space Models for Content-based Recommender Systems] - [[Cataldo Musto]]&lt;br /&gt;
* [http://dalspace.library.dal.ca/bitstream/handle/10222/14735/Lipczak,%20Marek,%20PhD,%20CS,%20March%202012.pdf?sequence=5 Hybrid Tag Recommendation in Collaborative Tagging Systems] - [[Marek Lipczak]]&lt;br /&gt;
* [http://gradworks.umi.com/35/05/3505275.html Interaction Methods for Large Scale Graph Visualization Systems --- Using Manipulation to Aid Discovery] - [[Brynjar Gretarsson]]&lt;br /&gt;
* [http://www.evazangerle.at/wp-content/papercite-data/pdf/evaphd.pdf Leveraging Recommender Systems for the Creation and Maintenance of Structure within Collaborative Social Media Platforms] - [[Eva Zangerle]]&lt;br /&gt;
* [https://eldorado.tu-dortmund.de/bitstream/2003/29661/1/Dissertation.pdf Leveraging Tagging Data for Recommender Systems] - [[Fatih Gedikli]]&lt;br /&gt;
* [http://cseweb.ucsd.edu/~bmcfee/papers/bmcfee_dissertation.pdf More like this: machine learning approaches to music similarity] - [[Brian McFee]]&lt;br /&gt;
* [http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-17249 On some Challenges for Online Trust and Reputation Systems] - [[Mozhgan Tavakolifard]]&lt;br /&gt;
* [http://www.l3s.de/~krestel/cmsimple3_2/?Publications:Others:PhD_Thesis_12 On the Use of Language Models and Topic Models in the Web: New Algorithms for Filtering, Classification, Ranking, and Recommendation] - [[Ralf Krestel]]&lt;br /&gt;
* [http://ir.ii.uam.es/~alejandro/thesis/thesis-bellogin.pdf Performance prediction and evaluation in Recommender Systems: an Information Retrieval perspective] - [[Alejandro Bellogin]]&lt;br /&gt;
* [http://eprints.qut.edu.au/59507/1/Noraswaliza_Abdullah_Thesis.pdf Integrating collaborative filtering and matching-based search for product recommendation] - [[Noraswaliza Abdullah]]&lt;br /&gt;
* [http://www.uns.ac.rs/sr/doktorske/aleksandraKlasnjaMilicevic/disertacija.pdf Personalized Recommendation Based on Collaborative Tagging Techniques for an E-learning System] - [[Aleksandra Klašnja‐Milićević]]&lt;br /&gt;
* [http://arxiv.org/pdf/1203.4487v2 Recommender systems in industrial contexts] - [[Frank Meyer]]&lt;br /&gt;
* [http://opus.bsz-bw.de/ubhi/volltexte/2012/167/pdf/item_recommendation.pdf Supervised Machine Learning Methods for Item Recommendation] - [[Zeno Gantner]]&lt;br /&gt;
* [http://gradworks.umi.com/35/23/3523081.html Understanding Consistency of Recommender Systems: Behavioral and Algorithmic Perspectives] - [[Jingjing Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2011 ===&lt;br /&gt;
* [http://users.cecs.anu.edu.au/~sguo/thesis.pdf Bayesian Recommender Systems: Models and Algorithms] - [[Shengbo Guo]]&lt;br /&gt;
* [http://www.inf.unibz.it/~lbaltrunas/doc/linas_phd_thesis.pdf Context-Aware Collaborative Filtering Recommender Systems] - [[Linas Baltrunas]]&lt;br /&gt;
* [http://benfields.net/bfields_thesis.pdf Contextualize Your Listening: The Playlist as Recommendation Engine] - [[Ben Fields]]&lt;br /&gt;
* [http://www.eric.ed.gov/ERICWebPortal/search/detailmini.jsp?_nfpb=true&amp;amp;_&amp;amp;ERICExtSearch_SearchValue_0=ED534217&amp;amp;ERICExtSearch_SearchType_0=no&amp;amp;accno=ED534217 Deployment of Recommender Systems: Operational and Strategic Issues] - [[Abhijeet Ghoshal]]&lt;br /&gt;
* [http://espace.library.uq.edu.au/view/UQ:263213 Effective and Efficient Collaborative Filtering] - [[Yi Ding]]&lt;br /&gt;
* [http://www.cse.cuhk.edu.hk/lyu/_media/students/thesisxin9.pdf Effective Fusion-based Approaches for Recommender Systems] - [[Xin Xin]]&lt;br /&gt;
* [http://www.aka-verlag.com/de/detail?ean=978-3-89838-332-5 Formal Concept Analysis and Tag Recommendations in Collaborative Tagging Systems] - [[Robert Jäschke]]&lt;br /&gt;
* [http://uclab.khu.ac.kr/resources/thesis/PhD_Thesis_Weiwei.pdf Improved Trust-Aware Recommender System using Small-Worldness of Trust Networks] - [[Weiwei Yuan]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/117321 Personalized Recommendation in Social Network Sites] - [[Jilin Chen]]&lt;br /&gt;
* [http://lac-repo-live7.is.ed.ac.uk/bitstream/1842/5770/1/Givon2011.pdf Predicting and using social tags to improve the accuracy and transparency of recommender systems] - [[Sharon Givon]]&lt;br /&gt;
* [http://slavnik.fe.uni-lj.si/markot/uploads/Main/2010_tkalcic_phd.pdf Recognition and usage of emotive parameters in recommender systems] - [[Marko Tkalčič]]&lt;br /&gt;
* [http://gradworks.umi.com/34/79/3479962.html Swarm intellilgence for clustering dynamic data sets for web usage mining and personalization] - [[Esin Saka]]&lt;br /&gt;
* [http://eprints.qut.edu.au/41879/1/Huizhi_Liang_Thesis.pdf User profiling based on folksonomy information in Web 2.0 for personalized recommender systems] - [[Huizhi Liang]]&lt;br /&gt;
* [http://eprints.qut.edu.au/49168/1/Touhid_Bhuiyan_Thesis.pdf Trust-based automated recommendation making] - [[Touhid Bhuiyan]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/1687272 Using Data Mining for Facilitating User Contributions in the Social Semantic Web] - [[Maryam Ramezani]]&lt;br /&gt;
* [http://gradworks.umi.com/34/49/3449549.html Visualization of music relational information sources for analysis, navigation, and discovery] - [[Justin Donaldson]]&lt;br /&gt;
&lt;br /&gt;
=== 2010 ===&lt;br /&gt;
* [http://www.amazon.com/Domain-Independent-Framework-Intelligent-Recommendations-Application/dp/3838113756 A Domain-Independent Framework for Intelligent Recommendations] - [[Jörn David]]&lt;br /&gt;
* [http://www.cp.jku.at/people/seyerlehner/supervised/seyerlehner_phd.pdf Content-Based Music Recommender Systems: Beyond simple Frame-Level Audio Similarity] - [[Klaus Seyerlehner]]&lt;br /&gt;
* [http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-642-16897-0 Context-Aware Ranking with Factorization Models] - [[Steffen Rendle]]&lt;br /&gt;
* [http://www.cs.ucl.ac.uk/staff/n.lathia/thesis.html Evaluating Collaborative Filtering Over Time] - [[Neal Lathia]]&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2010/2695/pdf/wetzker_robert.pdf Graph-Based Recommendation in Broad Folksonomies] - [[Robert Wetzker]]&lt;br /&gt;
* [http://lib.tkk.fi/Diss/2010/isbn9789526031514/isbn9789526031514.pdf Methods and Applications for Ontology-based Recommender Systems] - [[Tuukka Ruotsalo]]&lt;br /&gt;
* [http://theses.gla.ac.uk/2132/01/2010hopfgartner1phd.pdf Personalised video retrieval: application of implicit feedback and semantic user profiles] - [[Frank Hopfgartner]]&lt;br /&gt;
* [http://www.dsc.ufcg.edu.br/~lbmarinho/homepage/pub/thesis_marinho.pdf Recommender Systems for Social Tagging Systems] - [[Leandro Balby Marinho]]&lt;br /&gt;
* [http://www.verlagdrkovac.de/3-8300-5081-X.htm Recommender Systeme für produktbegleitende Dienstleistungen] - [[Margarethe Frohs]]&lt;br /&gt;
* [http://wrap.warwick.ac.uk/3759/1/WRAP_THESIS_Li_2010.pdf Relational clustering models for knowledge discovery and recommender systems] - [[Tao Li]]&lt;br /&gt;
* [https://biblio.ugent.be/publication/986279/file/1886805.pdf Trust networks for recommender systems] - [[Patricia Victor]]&lt;br /&gt;
* [http://gradworks.umi.com/34/70/3470158.html User session and history modeling for collaborative visualization] - [[Fanhai Yang]]&lt;br /&gt;
&lt;br /&gt;
=== 2009 ===&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2009/2245/pdf/lommatzsch_andreas.pdf Eine offene Architektur für die agentenbasierte, adaptive, personalisierte Informationsfilterung] (German) - [[Andreas Lommatzsch]]&lt;br /&gt;
* [http://www.abdn.ac.uk/~csc284/Nava%20Tintarev_PhD_Thesis_%282010%29.pdf Explaining recommendations] - [[Nava Tintarev]]&lt;br /&gt;
* [http://www.omikk.bme.hu/collections/phd/Villamosmernoki_es_Informatikai_Kar/2010/Pilaszy_Istvan/ertekezes.pdf Factorization-Based Large Scale Recommendation Algorithms] - [[István Pilászy]]&lt;br /&gt;
* [http://www.shilad.com/shilads_thesis.pdf Nurturing Tagging Communities] - [[Shilad Sen]]&lt;br /&gt;
* [http://repository.upenn.edu/dissertations/AAI3363295/ Recommender systems and market diversity] - [[Daniel M. Fleder]]&lt;br /&gt;
* [http://itlab.dbit.dk/~toine/?page_id=6 Recommender Systems for Social Bookmarking] - [[Toine Bogers]]&lt;br /&gt;
* [http://svn.egovmon.no/svn/phdgoodwin/thesis/referenceexample/MMR_thesis_afterDefense.pdf Towards Efficient Music Similarity Search, Ranking, and Recommendation] - [[Maria Magdalena Ruxanda]]&lt;br /&gt;
&lt;br /&gt;
=== 2008 ===&lt;br /&gt;
* [http://essay.utwente.nl/59711/1/MA_thesis_J_de_Wit.pdf Evaluating recommender systems : an evaluation framework to predict user satisfaction for recommender systems in an electronic programme guide context] - [[Joost de Wit]]&lt;br /&gt;
* [http://arantxa.ii.uam.es/~cantador/doc/2008/thesis08.zip Exploiting the Conceptual Space in Hybrid Recommender Systems: a Semantic-based Approach] - [[Iván Cantador]]&lt;br /&gt;
* [http://eprints.qut.edu.au/29165/2/Li-Tung_Weng_Thesis.pdf Information Enrichment for Quality Recommender Systems] - [[Li-Tung Weng]]&lt;br /&gt;
* [http://tomheath.com/thesis/html Information-seeking on the Web with Trusted Social Networks – from Theory to Systems] - [[Tom Heath]]&lt;br /&gt;
* [http://www.cs.umass.edu/~marlin/research/phd_thesis/marlin-phd-thesis.pdf Missing Data Problems in Machine Learning] - [[Benjamin Marlin]]&lt;br /&gt;
* [http://mtg.upf.edu/node/1217 Music Recommendation and Discovery in the Long Tail] - [[Òscar Celma]]&lt;br /&gt;
* [http://hal.inria.fr/docs/00/34/83/70/PDF/TeseFinal.pdf Recommender System based on Personality Traits] - [[Maria Augusta Silveira Netto Nunes]]&lt;br /&gt;
* [http://winnie.kuis.kyoto-u.ac.jp/members/yoshii/d-thesis-yoshii.pdf Studies on Hybrid Music Recommendation Using Timbral and Rhythmic Features] - [[Kazuyoshi Yoshii]]&lt;br /&gt;
* [http://www.peterlang.com/index.cfm?event=cmp.ccc.seitenstruktur.detailseiten&amp;amp;seitentyp=produkt&amp;amp;pk=56341&amp;amp;cid=367 Towards Metadata-aware Algorithms for Recommender Systems] - [[Karen H. L. Tso-Sutter]]&lt;br /&gt;
* [http://hci.epfl.ch/members/lichen/EPFL_TH4140.pdf User Decision Improvement and Trust Building in Product Recommender Systems] - [[Li Chen]]&lt;br /&gt;
&lt;br /&gt;
=== 2007 ===&lt;br /&gt;
* [http://www.ulrichpaquet.com/Papers/PhDThesis.pdf Bayesian Inference for Latent Variable Models] - [[Ulrich Paquet]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~arashid/thesis.pdf Mining Influence in Recommender Systems] - [[Al Mamunur Rashid]]&lt;br /&gt;
* [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.91.2714&amp;amp;rep=rep1&amp;amp;type=pdf Building Trustworthy Recommender Systems] - [[Sheng Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2006 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1269509 Designing social interactions with animated avatars and speech output for product recommendation agents in electronic commerce] - [[Lingyun Qiu]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~mcnee/mcnee-thesis-preprint.pdf Meeting User Information Needs in Recommender Systems] - [[Sean McNee]]&lt;br /&gt;
&lt;br /&gt;
=== 2005 ===&lt;br /&gt;
* [http://eprints.ecs.soton.ac.uk/10692/1/wei-phd-thesis.pdf A Market-Based Approach to Recommender Systems] - [[Yan Zheng Wei]]&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1123874 Explanet: a learning tool and hybrid recommender system for student-authored explanations] - [[Jessica Masters]]&lt;br /&gt;
* Hybrid recommendation techniques based on user profiles - [[Pasquale Lops]]&lt;br /&gt;
* [http://www.princeton.edu/~smorris/pdfs/PhD/Ozmen.pdf Information Transmission and Recommender Systems] - [[Deran Özmen]]&lt;br /&gt;
* [https://doc.telin.nl/dsweb/Get/Document-56873 Supporting People In Finding Information: Hybrid Recommender Systems and Goal-Based Structuring] - [[Mark van Setten]]&lt;br /&gt;
* [http://www.freidok.uni-freiburg.de/volltexte/1804/pdf/Thesis.pdf Towards Decentralized Recommender Systems] - [[Cai-Nicolas Ziegler]]&lt;br /&gt;
* [http://dspace.mit.edu/bitstream/handle/1721.1/31137/61184336.pdf?sequence=1 Use of Discrete Choice Models with Recommender Systems] - [[Bassam H. Chaptini]]&lt;br /&gt;
&lt;br /&gt;
=== 2004 ===&lt;br /&gt;
&lt;br /&gt;
=== 2003 ===&lt;br /&gt;
* [http://eia.udg.es/~mmontane/montaner-thesis03.pdf Collaborative recommender agents based on case-based reasoning and trust] - [[Miquel Montaner]]&lt;br /&gt;
* [https://circle.ubc.ca/bitstream/handle/2429/14933/ubc_2003-859525.pdf?sequence=1 The Impact of Internalization and Familiarity on Trust and Adoption of Recommendation Agents] - [[Sherrie Komiak]]&lt;br /&gt;
* [http://knuth.luther.edu/~bmiller/Papers/thesis.pdf Toward a Personal Recommender System] - [[Bradley N. Miller]]&lt;br /&gt;
&lt;br /&gt;
=== 2002 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=935978 Recommendation as classification and recommendation as matching: two information-centered approaches to recommendation] - [[Chumki Basu]]&lt;br /&gt;
&lt;br /&gt;
=== 2001 ===&lt;br /&gt;
* [http://www.patrickbaudisch.com/publications/2001-Baudisch-Dissertation-DynamicInformationFiltering.pdf Dynamic Information Filtering] - [[Patrick Baudisch]]&lt;br /&gt;
* [http://www.cs.uni.edu/~schafer/publications/schafer_thesis.pdf MetaLens: A Framework for Multsource Recommendations] - [[Ben Schafer]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~sarwar/thesis.ps Sparsity, scalability, and distribution in recommender systems] - [[Badrul Munir Sarwar]]&lt;br /&gt;
&lt;br /&gt;
=== 2000 ===&lt;br /&gt;
&lt;br /&gt;
=== 1999 ===&lt;br /&gt;
&lt;br /&gt;
=== 1998 ===&lt;br /&gt;
&lt;br /&gt;
=== 1997 ===&lt;br /&gt;
* Recommender Systems for Problem Solving Environments - [[Naren Ramakrishnan]]&lt;br /&gt;
&lt;br /&gt;
== External links ==&lt;br /&gt;
* [http://pampalk.at/mir-phds/ PhD Theses and Doctoral Dissertations Related to Music Information Retrieval]&lt;br /&gt;
* [http://www.mendeley.com/groups/3058301/recommender-system-dissertations/papers/ Mendeley collection of Recommender System dissertations] (based on this page)&lt;br /&gt;
&lt;br /&gt;
[[Category: List|Dissertation]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2436</id>
		<title>List of recommender system dissertations</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2436"/>
		<updated>2020-09-25T19:12:13Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Recommender systems]] related '''''doctoral''''' dissertations by year. For other types of theses see:&lt;br /&gt;
* [[List of recommender systems master's theses]]&lt;br /&gt;
* [[List of recommender systems bachelor's theses]]&lt;br /&gt;
&lt;br /&gt;
Dissertation within a year are sorted alphabetically by title.&lt;br /&gt;
&lt;br /&gt;
=== 2019 ===&lt;br /&gt;
* [https://research.tue.nl/files/119737279/20190226_CO_Starke.pdf Supporting energy-efficient choices using Rasch-based recommender interfaces] - [[Alain Starke]]&lt;br /&gt;
&lt;br /&gt;
=== 2018 ===&lt;br /&gt;
* [https://research.tue.nl/files/126497389/20180524_Graus.pdf From behavior-centered to user-centered : incorporating psychological knowledge and user feedback in personalization] - [[Mark Graus]]&lt;br /&gt;
&lt;br /&gt;
=== 2017 ===&lt;br /&gt;
&lt;br /&gt;
=== 2016 ===&lt;br /&gt;
* [https://www.jku.at/fileadmin/gruppen/173/Research/Ferwerda_Dissertation_final-komprimiert.pdf Improving the User Experience of Music Recommender Systems Through Personality and Cultural Information] - [[Bruce Ferwerda]]&lt;br /&gt;
&lt;br /&gt;
=== 2015 ===&lt;br /&gt;
* [http://yu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002052536 A Weighted User Similarity Model for Cold Start Recommendations] - [[Parivash Pirasteh]]&lt;br /&gt;
* [http://krex.k-state.edu/dspace/bitstream/handle/2097/19779/RohitParimi2015.pdf?sequence=6&amp;amp;isAllowed=y Collaborative Filtering Approaches for Single-domains and Cross-domain Recommender Systems] - [[Rohit Parimi]]&lt;br /&gt;
* [http://ir.ii.uam.es/saul/saulvargas-thesis.pdf Novelty and Diversity Evaluation and Enhancement in Recommender Systems] - [[Saúl Vargas]]&lt;br /&gt;
* [http://docear.org/papers/Towards%20Effective%20Research-Paper%20Recommender%20Systems%20and%20User%20Modeling%20based%20on%20Mind%20Maps.pdf Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Maps] - Joeran Beel&lt;br /&gt;
&lt;br /&gt;
=== 2014 ===&lt;br /&gt;
* [http://scholarlyrepository.miami.edu/cgi/viewcontent.cgi?article=2209&amp;amp;context=oa_dissertations A Model-Based Music Recommendation System for Individual Users and Implicit User Groups] - [[Yajie Hu]] &lt;br /&gt;
* [https://boa.unimib.it/retrieve/handle/10281/70560/104693/PhD_unimib_%20%09732150%20.pdf Advancing Recommender Systems from the Algorithm, Interface and Methodological Perspective] - [[Marco Rossetti]]&lt;br /&gt;
* [http://infoscience.epfl.ch/record/199806 Aggregating Information from the Crowd: ratings, recommendations and predictions] - [[Florent Garcin]]&lt;br /&gt;
* [http://wanlab.poly.edu/xiwang/doc/thesis.pdf Collaborative Filtering Based Social Recommender Systems] - [[Xiwang Yang]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/3158723 Cross-domain Recommendations based on semantically-enhanced User Web Behavior] - [[Julia Hoxha]] &lt;br /&gt;
* [http://www.win.tue.nl/ipa/?event=cryptographically-enhanced-privacy-for-recommender-systems Cryptographically-Enhanced Privacy for Recommender Systems] - [[Arjan Jeckmans]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/11299/167084 Database management system support for collaborative filtering recommender systems] - [[Mohamed Sarwat]]&lt;br /&gt;
* [https://www.researchgate.net/publication/292991578_Empirical_Evaluation_of_Active_Learning_Strategies_in_Collaborative_Filtering Empirical Evaluation of Active Learning Strategies in Collaborative Filtering] - [[Mehdi Elahi]]&lt;br /&gt;
* [http://bit.ly/simonphd Dynamic Generation of Personalized Hybrid Recommender Systems] - [[Simon Dooms]]&lt;br /&gt;
* Enhancing Discovery in Geoportals: Geo-Enrichment, Semantic Enhancement and Recommendation Strategies for Geo-Information Discovery - [[Bernhard Vockner]]&lt;br /&gt;
* [http://www.lsi.upc.edu/~vcodina/phd.pdf Exploiting Distributional Semantics for Content-Based and Context-Aware Recommendation] - [[Victor Codina]]&lt;br /&gt;
* [http://micheletrevisiol.com/data/Exploiting_Implicit_User_Activity_for_Media_Recommendation.pdf Exploiting Implicit User Activity for Media Recommendation] - [[Michele Trevisiol]]&lt;br /&gt;
* [http://arks.princeton.edu/ark:/88435/dsp01nv935299q Information Aggregation in Quantized Consensus, Recommender Systems, and Ranking] - [[Shang Shang]]&lt;br /&gt;
* [http://repository.lib.ncsu.edu/ir/bitstream/1840.16/9727/1/etd.pdf More Usable Recommendation Systems for Improving Software Quality] - [[Yoonki Song]]&lt;br /&gt;
* [http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=2550&amp;amp;context=etd Next Generation of Recommender Systems: Algorithms and Applications] - [[Lei Li]]&lt;br /&gt;
* [https://tel.archives-ouvertes.fr/tel-01135312/document Privacy-enabled scalable recommender systems] -[[Andrés Moreno]]&lt;br /&gt;
* [http://ethesis.unifr.ch/theses/downloads.php?file=TeranL.pdf SmartParticipation: A Fuzzy-Based Recommender System for Political Community-Building] - [[Luis Fernando Terán Tamayo]]&lt;br /&gt;
* [http://elehack.net/research/thesis/ Towards Recommender Engineering: Tools and Experiments for Identifying Recommender Differences] - [[Michael Ekstrand]]&lt;br /&gt;
* [http://tampub.uta.fi/bitstream/handle/10024/95965/978-951-44-9551-9.pdf User Factors in Recommender Systems: Case Studies in e-Commerce, News Recommending, and e-Learning] - [[Juha Leino]]&lt;br /&gt;
&lt;br /&gt;
=== 2013 ===&lt;br /&gt;
* [http://interactivesystems.info/publications/a-conceptual-model-and-a-software-framework-for-developing-context-aware-hybrid-recommender-systems A conceptual model and a software framework for developing context aware hybrid recommender systems] - [[Tim Hussein]]&lt;br /&gt;
* [http://shodhganga.inflibnet.ac.in/handle/10603/24399 Effective tag recommendation system based on topic ontology] - [[V Subramaniyaswamy]]&lt;br /&gt;
* [http://eprints.ucm.es/24533/ Estrategias de recomendación basadas en conocimiento para la localización personalizada de recursos en repositorios educativos] (Spanish) - [[Almudena Ruiz-Iniesta]]&lt;br /&gt;
* [http://opus4.kobv.de/opus4-tuberlin/frontdoor/index/index/docId/3681 Evaluating the Accuracy and Utility of Recommender Systems] - [[Alan Said]]&lt;br /&gt;
* [http://julian-urbano.info/publications/061-evaluation-audio-music-similarity Evaluation in Audio Music Similarity] - [[Julián Urbano]]&lt;br /&gt;
* [https://biblio.ugent.be/input/download?func=downloadFile&amp;amp;recordOId=4163727&amp;amp;fileOId=4163752 Improved online services by personalized recommendations and optimal quality of experience parameters] - [[Toon De Pessemier]]&lt;br /&gt;
* [http://hdl.handle.net/10059/859 Integrating Content and Semantic Representations for Music Recommendation] - [[Ben Horsburgh]]&lt;br /&gt;
* [http://escholarship.org/uc/item/4xw874p5#page-1 Latent feature models for dyadic prediction] - [[Aditya Krishna Menon]]&lt;br /&gt;
* [http://edok01.tib.uni-hannover.de/edoks/e01dh13/767033973.pdf Living Analytics Methods for the Social Web] - [[Ernesto Diaz-Aviles]]&lt;br /&gt;
* [http://repository.tudelft.nl/assets/uuid:f7d3977e-f191-40d4-8f27-784a32902a55/thesis_yueshi.pdf Ranking and Context-awareness in Recommender Systems] - [[Yue Shi]]&lt;br /&gt;
* [https://repositorio.uam.es/bitstream/handle/10486/14091/66095_campos%20soto%20pedro%20g..pdf Recommender Systems and Time Context: Characterization of a Robust Evaluation Protocol to Increase Reliability of Measured Improvemenets] - [[Pedro Campos]]&lt;br /&gt;
* [http://users.soe.ucsc.edu/~jwang30/index.files/dissertation-Jian.pdf Session Aware Recommender System in E-Commerce] - [[Jian Wang]]&lt;br /&gt;
* [http://doras.dcu.ie/17737/ Social contextuality and conversational recommender systems] - [[Eoin Hurrell]]&lt;br /&gt;
* [http://liris.cnrs.fr/Documents/Liris-6406.pdf Trace-Based Reasoning for User Assistance and Recommendations] - [[Raafat Zarka]]&lt;br /&gt;
* [http://kth.diva-portal.org/smash/record.jsf?pid=diva2:606503 Trust-Based User Profiling] - [[Nima Dokoohaki]]&lt;br /&gt;
* [http://scidok.sulb.uni-saarland.de/volltexte/2013/5528/pdf/Boehmer_2013_MobileApplicationUsage_low.pdf Understanding and supporting mobile application usage] - [[Matthias Böhmer]]&lt;br /&gt;
* [http://d-scholarship.pitt.edu/19733/ User Contrallability in a Hybrid Recommender System] - [[Denis Parra]]&lt;br /&gt;
&lt;br /&gt;
=== 2012 ===&lt;br /&gt;
* [http://library.epfl.ch/en/theses/?nr=5318 Design and User Perception Issues for Personality-Engaged Recommender Systems] - [[Rong Hu]]&lt;br /&gt;
* [http://www.di.uniba.it/~swap/papers/musto_thesis.pdf Enhanced Vector Space Models for Content-based Recommender Systems] - [[Cataldo Musto]]&lt;br /&gt;
* [http://dalspace.library.dal.ca/bitstream/handle/10222/14735/Lipczak,%20Marek,%20PhD,%20CS,%20March%202012.pdf?sequence=5 Hybrid Tag Recommendation in Collaborative Tagging Systems] - [[Marek Lipczak]]&lt;br /&gt;
* [http://gradworks.umi.com/35/05/3505275.html Interaction Methods for Large Scale Graph Visualization Systems --- Using Manipulation to Aid Discovery] - [[Brynjar Gretarsson]]&lt;br /&gt;
* [http://www.evazangerle.at/wp-content/papercite-data/pdf/evaphd.pdf Leveraging Recommender Systems for the Creation and Maintenance of Structure within Collaborative Social Media Platforms] - [[Eva Zangerle]]&lt;br /&gt;
* [https://eldorado.tu-dortmund.de/bitstream/2003/29661/1/Dissertation.pdf Leveraging Tagging Data for Recommender Systems] - [[Fatih Gedikli]]&lt;br /&gt;
* [http://cseweb.ucsd.edu/~bmcfee/papers/bmcfee_dissertation.pdf More like this: machine learning approaches to music similarity] - [[Brian McFee]]&lt;br /&gt;
* [http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-17249 On some Challenges for Online Trust and Reputation Systems] - [[Mozhgan Tavakolifard]]&lt;br /&gt;
* [http://www.l3s.de/~krestel/cmsimple3_2/?Publications:Others:PhD_Thesis_12 On the Use of Language Models and Topic Models in the Web: New Algorithms for Filtering, Classification, Ranking, and Recommendation] - [[Ralf Krestel]]&lt;br /&gt;
* [http://ir.ii.uam.es/~alejandro/thesis/thesis-bellogin.pdf Performance prediction and evaluation in Recommender Systems: an Information Retrieval perspective] - [[Alejandro Bellogin]]&lt;br /&gt;
* [http://eprints.qut.edu.au/59507/1/Noraswaliza_Abdullah_Thesis.pdf Integrating collaborative filtering and matching-based search for product recommendation] - [[Noraswaliza Abdullah]]&lt;br /&gt;
* [http://www.uns.ac.rs/sr/doktorske/aleksandraKlasnjaMilicevic/disertacija.pdf Personalized Recommendation Based on Collaborative Tagging Techniques for an E-learning System] - [[Aleksandra Klašnja‐Milićević]]&lt;br /&gt;
* [http://arxiv.org/pdf/1203.4487v2 Recommender systems in industrial contexts] - [[Frank Meyer]]&lt;br /&gt;
* [http://opus.bsz-bw.de/ubhi/volltexte/2012/167/pdf/item_recommendation.pdf Supervised Machine Learning Methods for Item Recommendation] - [[Zeno Gantner]]&lt;br /&gt;
* [http://gradworks.umi.com/35/23/3523081.html Understanding Consistency of Recommender Systems: Behavioral and Algorithmic Perspectives] - [[Jingjing Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2011 ===&lt;br /&gt;
* [http://users.cecs.anu.edu.au/~sguo/thesis.pdf Bayesian Recommender Systems: Models and Algorithms] - [[Shengbo Guo]]&lt;br /&gt;
* [http://www.inf.unibz.it/~lbaltrunas/doc/linas_phd_thesis.pdf Context-Aware Collaborative Filtering Recommender Systems] - [[Linas Baltrunas]]&lt;br /&gt;
* [http://benfields.net/bfields_thesis.pdf Contextualize Your Listening: The Playlist as Recommendation Engine] - [[Ben Fields]]&lt;br /&gt;
* [http://www.eric.ed.gov/ERICWebPortal/search/detailmini.jsp?_nfpb=true&amp;amp;_&amp;amp;ERICExtSearch_SearchValue_0=ED534217&amp;amp;ERICExtSearch_SearchType_0=no&amp;amp;accno=ED534217 Deployment of Recommender Systems: Operational and Strategic Issues] - [[Abhijeet Ghoshal]]&lt;br /&gt;
* [http://espace.library.uq.edu.au/view/UQ:263213 Effective and Efficient Collaborative Filtering] - [[Yi Ding]]&lt;br /&gt;
* [http://www.cse.cuhk.edu.hk/lyu/_media/students/thesisxin9.pdf Effective Fusion-based Approaches for Recommender Systems] - [[Xin Xin]]&lt;br /&gt;
* [http://www.aka-verlag.com/de/detail?ean=978-3-89838-332-5 Formal Concept Analysis and Tag Recommendations in Collaborative Tagging Systems] - [[Robert Jäschke]]&lt;br /&gt;
* [http://uclab.khu.ac.kr/resources/thesis/PhD_Thesis_Weiwei.pdf Improved Trust-Aware Recommender System using Small-Worldness of Trust Networks] - [[Weiwei Yuan]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/117321 Personalized Recommendation in Social Network Sites] - [[Jilin Chen]]&lt;br /&gt;
* [http://lac-repo-live7.is.ed.ac.uk/bitstream/1842/5770/1/Givon2011.pdf Predicting and using social tags to improve the accuracy and transparency of recommender systems] - [[Sharon Givon]]&lt;br /&gt;
* [http://slavnik.fe.uni-lj.si/markot/uploads/Main/2010_tkalcic_phd.pdf Recognition and usage of emotive parameters in recommender systems] - [[Marko Tkalčič]]&lt;br /&gt;
* [http://gradworks.umi.com/34/79/3479962.html Swarm intellilgence for clustering dynamic data sets for web usage mining and personalization] - [[Esin Saka]]&lt;br /&gt;
* [http://eprints.qut.edu.au/41879/1/Huizhi_Liang_Thesis.pdf User profiling based on folksonomy information in Web 2.0 for personalized recommender systems] - [[Huizhi Liang]]&lt;br /&gt;
* [http://eprints.qut.edu.au/49168/1/Touhid_Bhuiyan_Thesis.pdf Trust-based automated recommendation making] - [[Touhid Bhuiyan]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/1687272 Using Data Mining for Facilitating User Contributions in the Social Semantic Web] - [[Maryam Ramezani]]&lt;br /&gt;
* [http://gradworks.umi.com/34/49/3449549.html Visualization of music relational information sources for analysis, navigation, and discovery] - [[Justin Donaldson]]&lt;br /&gt;
&lt;br /&gt;
=== 2010 ===&lt;br /&gt;
* [http://www.amazon.com/Domain-Independent-Framework-Intelligent-Recommendations-Application/dp/3838113756 A Domain-Independent Framework for Intelligent Recommendations] - [[Jörn David]]&lt;br /&gt;
* [http://www.cp.jku.at/people/seyerlehner/supervised/seyerlehner_phd.pdf Content-Based Music Recommender Systems: Beyond simple Frame-Level Audio Similarity] - [[Klaus Seyerlehner]]&lt;br /&gt;
* [http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-642-16897-0 Context-Aware Ranking with Factorization Models] - [[Steffen Rendle]]&lt;br /&gt;
* [http://www.cs.ucl.ac.uk/staff/n.lathia/thesis.html Evaluating Collaborative Filtering Over Time] - [[Neal Lathia]]&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2010/2695/pdf/wetzker_robert.pdf Graph-Based Recommendation in Broad Folksonomies] - [[Robert Wetzker]]&lt;br /&gt;
* [http://lib.tkk.fi/Diss/2010/isbn9789526031514/isbn9789526031514.pdf Methods and Applications for Ontology-based Recommender Systems] - [[Tuukka Ruotsalo]]&lt;br /&gt;
* [http://theses.gla.ac.uk/2132/01/2010hopfgartner1phd.pdf Personalised video retrieval: application of implicit feedback and semantic user profiles] - [[Frank Hopfgartner]]&lt;br /&gt;
* [http://www.dsc.ufcg.edu.br/~lbmarinho/homepage/pub/thesis_marinho.pdf Recommender Systems for Social Tagging Systems] - [[Leandro Balby Marinho]]&lt;br /&gt;
* [http://www.verlagdrkovac.de/3-8300-5081-X.htm Recommender Systeme für produktbegleitende Dienstleistungen] - [[Margarethe Frohs]]&lt;br /&gt;
* [http://wrap.warwick.ac.uk/3759/1/WRAP_THESIS_Li_2010.pdf Relational clustering models for knowledge discovery and recommender systems] - [[Tao Li]]&lt;br /&gt;
* [https://biblio.ugent.be/publication/986279/file/1886805.pdf Trust networks for recommender systems] - [[Patricia Victor]]&lt;br /&gt;
* [http://gradworks.umi.com/34/70/3470158.html User session and history modeling for collaborative visualization] - [[Fanhai Yang]]&lt;br /&gt;
&lt;br /&gt;
=== 2009 ===&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2009/2245/pdf/lommatzsch_andreas.pdf Eine offene Architektur für die agentenbasierte, adaptive, personalisierte Informationsfilterung] (German) - [[Andreas Lommatzsch]]&lt;br /&gt;
* [http://www.abdn.ac.uk/~csc284/Nava%20Tintarev_PhD_Thesis_%282010%29.pdf Explaining recommendations] - [[Nava Tintarev]]&lt;br /&gt;
* [http://www.omikk.bme.hu/collections/phd/Villamosmernoki_es_Informatikai_Kar/2010/Pilaszy_Istvan/ertekezes.pdf Factorization-Based Large Scale Recommendation Algorithms] - [[István Pilászy]]&lt;br /&gt;
* [http://www.shilad.com/shilads_thesis.pdf Nurturing Tagging Communities] - [[Shilad Sen]]&lt;br /&gt;
* [http://repository.upenn.edu/dissertations/AAI3363295/ Recommender systems and market diversity] - [[Daniel M. Fleder]]&lt;br /&gt;
* [http://itlab.dbit.dk/~toine/?page_id=6 Recommender Systems for Social Bookmarking] - [[Toine Bogers]]&lt;br /&gt;
* [http://svn.egovmon.no/svn/phdgoodwin/thesis/referenceexample/MMR_thesis_afterDefense.pdf Towards Efficient Music Similarity Search, Ranking, and Recommendation] - [[Maria Magdalena Ruxanda]]&lt;br /&gt;
&lt;br /&gt;
=== 2008 ===&lt;br /&gt;
* [http://essay.utwente.nl/59711/1/MA_thesis_J_de_Wit.pdf Evaluating recommender systems : an evaluation framework to predict user satisfaction for recommender systems in an electronic programme guide context] - [[Joost de Wit]]&lt;br /&gt;
* [http://arantxa.ii.uam.es/~cantador/doc/2008/thesis08.zip Exploiting the Conceptual Space in Hybrid Recommender Systems: a Semantic-based Approach] - [[Iván Cantador]]&lt;br /&gt;
* [http://eprints.qut.edu.au/29165/2/Li-Tung_Weng_Thesis.pdf Information Enrichment for Quality Recommender Systems] - [[Li-Tung Weng]]&lt;br /&gt;
* [http://tomheath.com/thesis/html Information-seeking on the Web with Trusted Social Networks – from Theory to Systems] - [[Tom Heath]]&lt;br /&gt;
* [http://www.cs.umass.edu/~marlin/research/phd_thesis/marlin-phd-thesis.pdf Missing Data Problems in Machine Learning] - [[Benjamin Marlin]]&lt;br /&gt;
* [http://mtg.upf.edu/node/1217 Music Recommendation and Discovery in the Long Tail] - [[Òscar Celma]]&lt;br /&gt;
* [http://hal.inria.fr/docs/00/34/83/70/PDF/TeseFinal.pdf Recommender System based on Personality Traits] - [[Maria Augusta Silveira Netto Nunes]]&lt;br /&gt;
* [http://winnie.kuis.kyoto-u.ac.jp/members/yoshii/d-thesis-yoshii.pdf Studies on Hybrid Music Recommendation Using Timbral and Rhythmic Features] - [[Kazuyoshi Yoshii]]&lt;br /&gt;
* [http://www.peterlang.com/index.cfm?event=cmp.ccc.seitenstruktur.detailseiten&amp;amp;seitentyp=produkt&amp;amp;pk=56341&amp;amp;cid=367 Towards Metadata-aware Algorithms for Recommender Systems] - [[Karen H. L. Tso-Sutter]]&lt;br /&gt;
* [http://hci.epfl.ch/members/lichen/EPFL_TH4140.pdf User Decision Improvement and Trust Building in Product Recommender Systems] - [[Li Chen]]&lt;br /&gt;
&lt;br /&gt;
=== 2007 ===&lt;br /&gt;
* [http://www.ulrichpaquet.com/Papers/PhDThesis.pdf Bayesian Inference for Latent Variable Models] - [[Ulrich Paquet]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~arashid/thesis.pdf Mining Influence in Recommender Systems] - [[Al Mamunur Rashid]]&lt;br /&gt;
* [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.91.2714&amp;amp;rep=rep1&amp;amp;type=pdf Building Trustworthy Recommender Systems] - [[Sheng Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2006 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1269509 Designing social interactions with animated avatars and speech output for product recommendation agents in electronic commerce] - [[Lingyun Qiu]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~mcnee/mcnee-thesis-preprint.pdf Meeting User Information Needs in Recommender Systems] - [[Sean McNee]]&lt;br /&gt;
&lt;br /&gt;
=== 2005 ===&lt;br /&gt;
* [http://eprints.ecs.soton.ac.uk/10692/1/wei-phd-thesis.pdf A Market-Based Approach to Recommender Systems] - [[Yan Zheng Wei]]&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1123874 Explanet: a learning tool and hybrid recommender system for student-authored explanations] - [[Jessica Masters]]&lt;br /&gt;
* Hybrid recommendation techniques based on user profiles - [[Pasquale Lops]]&lt;br /&gt;
* [http://www.princeton.edu/~smorris/pdfs/PhD/Ozmen.pdf Information Transmission and Recommender Systems] - [[Deran Özmen]]&lt;br /&gt;
* [https://doc.telin.nl/dsweb/Get/Document-56873 Supporting People In Finding Information: Hybrid Recommender Systems and Goal-Based Structuring] - [[Mark van Setten]]&lt;br /&gt;
* [http://www.freidok.uni-freiburg.de/volltexte/1804/pdf/Thesis.pdf Towards Decentralized Recommender Systems] - [[Cai-Nicolas Ziegler]]&lt;br /&gt;
* [http://dspace.mit.edu/bitstream/handle/1721.1/31137/61184336.pdf?sequence=1 Use of Discrete Choice Models with Recommender Systems] - [[Bassam H. Chaptini]]&lt;br /&gt;
&lt;br /&gt;
=== 2004 ===&lt;br /&gt;
&lt;br /&gt;
=== 2003 ===&lt;br /&gt;
* [http://eia.udg.es/~mmontane/montaner-thesis03.pdf Collaborative recommender agents based on case-based reasoning and trust] - [[Miquel Montaner]]&lt;br /&gt;
* [https://circle.ubc.ca/bitstream/handle/2429/14933/ubc_2003-859525.pdf?sequence=1 The Impact of Internalization and Familiarity on Trust and Adoption of Recommendation Agents] - [[Sherrie Komiak]]&lt;br /&gt;
* [http://knuth.luther.edu/~bmiller/Papers/thesis.pdf Toward a Personal Recommender System] - [[Bradley N. Miller]]&lt;br /&gt;
&lt;br /&gt;
=== 2002 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=935978 Recommendation as classification and recommendation as matching: two information-centered approaches to recommendation] - [[Chumki Basu]]&lt;br /&gt;
&lt;br /&gt;
=== 2001 ===&lt;br /&gt;
* [http://www.patrickbaudisch.com/publications/2001-Baudisch-Dissertation-DynamicInformationFiltering.pdf Dynamic Information Filtering] - [[Patrick Baudisch]]&lt;br /&gt;
* [http://www.cs.uni.edu/~schafer/publications/schafer_thesis.pdf MetaLens: A Framework for Multsource Recommendations] - [[Ben Schafer]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~sarwar/thesis.ps Sparsity, scalability, and distribution in recommender systems] - [[Badrul Munir Sarwar]]&lt;br /&gt;
&lt;br /&gt;
=== 2000 ===&lt;br /&gt;
&lt;br /&gt;
=== 1999 ===&lt;br /&gt;
&lt;br /&gt;
=== 1998 ===&lt;br /&gt;
&lt;br /&gt;
=== 1997 ===&lt;br /&gt;
* Recommender Systems for Problem Solving Environments - [[Naren Ramakrishnan]]&lt;br /&gt;
&lt;br /&gt;
== External links ==&lt;br /&gt;
* [http://pampalk.at/mir-phds/ PhD Theses and Doctoral Dissertations Related to Music Information Retrieval]&lt;br /&gt;
* [http://www.mendeley.com/groups/3058301/recommender-system-dissertations/papers/ Mendeley collection of Recommender System dissertations] (based on this page)&lt;br /&gt;
&lt;br /&gt;
[[Category: List|Dissertation]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2435</id>
		<title>List of recommender system dissertations</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2435"/>
		<updated>2020-09-25T19:10:31Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Recommender systems]] related '''''doctoral''''' dissertations by year. For other types of theses see:&lt;br /&gt;
* [[List of recommender systems master's theses]]&lt;br /&gt;
* [[List of recommender systems bachelor's theses]]&lt;br /&gt;
&lt;br /&gt;
Dissertation within a year are sorted alphabetically by title.&lt;br /&gt;
=== 2018 ===&lt;br /&gt;
* [https://research.tue.nl/files/126497389/20180524_Graus.pdf From behavior-centered to user-centered : incorporating psychological knowledge and user feedback in personalization] - [[Mark Graus]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== 2017 ===&lt;br /&gt;
&lt;br /&gt;
=== 2016 ===&lt;br /&gt;
* [https://www.jku.at/fileadmin/gruppen/173/Research/Ferwerda_Dissertation_final-komprimiert.pdf Improving the User Experience of Music Recommender Systems Through Personality and Cultural Information] - [[Bruce Ferwerda]]&lt;br /&gt;
&lt;br /&gt;
=== 2015 ===&lt;br /&gt;
* [http://yu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002052536 A Weighted User Similarity Model for Cold Start Recommendations] - [[Parivash Pirasteh]]&lt;br /&gt;
* [http://krex.k-state.edu/dspace/bitstream/handle/2097/19779/RohitParimi2015.pdf?sequence=6&amp;amp;isAllowed=y Collaborative Filtering Approaches for Single-domains and Cross-domain Recommender Systems] - [[Rohit Parimi]]&lt;br /&gt;
* [http://ir.ii.uam.es/saul/saulvargas-thesis.pdf Novelty and Diversity Evaluation and Enhancement in Recommender Systems] - [[Saúl Vargas]]&lt;br /&gt;
* [http://docear.org/papers/Towards%20Effective%20Research-Paper%20Recommender%20Systems%20and%20User%20Modeling%20based%20on%20Mind%20Maps.pdf Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Maps] - Joeran Beel&lt;br /&gt;
&lt;br /&gt;
=== 2014 ===&lt;br /&gt;
* [http://scholarlyrepository.miami.edu/cgi/viewcontent.cgi?article=2209&amp;amp;context=oa_dissertations A Model-Based Music Recommendation System for Individual Users and Implicit User Groups] - [[Yajie Hu]] &lt;br /&gt;
* [https://boa.unimib.it/retrieve/handle/10281/70560/104693/PhD_unimib_%20%09732150%20.pdf Advancing Recommender Systems from the Algorithm, Interface and Methodological Perspective] - [[Marco Rossetti]]&lt;br /&gt;
* [http://infoscience.epfl.ch/record/199806 Aggregating Information from the Crowd: ratings, recommendations and predictions] - [[Florent Garcin]]&lt;br /&gt;
* [http://wanlab.poly.edu/xiwang/doc/thesis.pdf Collaborative Filtering Based Social Recommender Systems] - [[Xiwang Yang]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/3158723 Cross-domain Recommendations based on semantically-enhanced User Web Behavior] - [[Julia Hoxha]] &lt;br /&gt;
* [http://www.win.tue.nl/ipa/?event=cryptographically-enhanced-privacy-for-recommender-systems Cryptographically-Enhanced Privacy for Recommender Systems] - [[Arjan Jeckmans]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/11299/167084 Database management system support for collaborative filtering recommender systems] - [[Mohamed Sarwat]]&lt;br /&gt;
* [https://www.researchgate.net/publication/292991578_Empirical_Evaluation_of_Active_Learning_Strategies_in_Collaborative_Filtering Empirical Evaluation of Active Learning Strategies in Collaborative Filtering] - [[Mehdi Elahi]]&lt;br /&gt;
* [http://bit.ly/simonphd Dynamic Generation of Personalized Hybrid Recommender Systems] - [[Simon Dooms]]&lt;br /&gt;
* Enhancing Discovery in Geoportals: Geo-Enrichment, Semantic Enhancement and Recommendation Strategies for Geo-Information Discovery - [[Bernhard Vockner]]&lt;br /&gt;
* [http://www.lsi.upc.edu/~vcodina/phd.pdf Exploiting Distributional Semantics for Content-Based and Context-Aware Recommendation] - [[Victor Codina]]&lt;br /&gt;
* [http://micheletrevisiol.com/data/Exploiting_Implicit_User_Activity_for_Media_Recommendation.pdf Exploiting Implicit User Activity for Media Recommendation] - [[Michele Trevisiol]]&lt;br /&gt;
* [http://arks.princeton.edu/ark:/88435/dsp01nv935299q Information Aggregation in Quantized Consensus, Recommender Systems, and Ranking] - [[Shang Shang]]&lt;br /&gt;
* [http://repository.lib.ncsu.edu/ir/bitstream/1840.16/9727/1/etd.pdf More Usable Recommendation Systems for Improving Software Quality] - [[Yoonki Song]]&lt;br /&gt;
* [http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=2550&amp;amp;context=etd Next Generation of Recommender Systems: Algorithms and Applications] - [[Lei Li]]&lt;br /&gt;
* [https://tel.archives-ouvertes.fr/tel-01135312/document Privacy-enabled scalable recommender systems] -[[Andrés Moreno]]&lt;br /&gt;
* [http://ethesis.unifr.ch/theses/downloads.php?file=TeranL.pdf SmartParticipation: A Fuzzy-Based Recommender System for Political Community-Building] - [[Luis Fernando Terán Tamayo]]&lt;br /&gt;
* [http://elehack.net/research/thesis/ Towards Recommender Engineering: Tools and Experiments for Identifying Recommender Differences] - [[Michael Ekstrand]]&lt;br /&gt;
* [http://tampub.uta.fi/bitstream/handle/10024/95965/978-951-44-9551-9.pdf User Factors in Recommender Systems: Case Studies in e-Commerce, News Recommending, and e-Learning] - [[Juha Leino]]&lt;br /&gt;
&lt;br /&gt;
=== 2013 ===&lt;br /&gt;
* [http://interactivesystems.info/publications/a-conceptual-model-and-a-software-framework-for-developing-context-aware-hybrid-recommender-systems A conceptual model and a software framework for developing context aware hybrid recommender systems] - [[Tim Hussein]]&lt;br /&gt;
* [http://shodhganga.inflibnet.ac.in/handle/10603/24399 Effective tag recommendation system based on topic ontology] - [[V Subramaniyaswamy]]&lt;br /&gt;
* [http://eprints.ucm.es/24533/ Estrategias de recomendación basadas en conocimiento para la localización personalizada de recursos en repositorios educativos] (Spanish) - [[Almudena Ruiz-Iniesta]]&lt;br /&gt;
* [http://opus4.kobv.de/opus4-tuberlin/frontdoor/index/index/docId/3681 Evaluating the Accuracy and Utility of Recommender Systems] - [[Alan Said]]&lt;br /&gt;
* [http://julian-urbano.info/publications/061-evaluation-audio-music-similarity Evaluation in Audio Music Similarity] - [[Julián Urbano]]&lt;br /&gt;
* [https://biblio.ugent.be/input/download?func=downloadFile&amp;amp;recordOId=4163727&amp;amp;fileOId=4163752 Improved online services by personalized recommendations and optimal quality of experience parameters] - [[Toon De Pessemier]]&lt;br /&gt;
* [http://hdl.handle.net/10059/859 Integrating Content and Semantic Representations for Music Recommendation] - [[Ben Horsburgh]]&lt;br /&gt;
* [http://escholarship.org/uc/item/4xw874p5#page-1 Latent feature models for dyadic prediction] - [[Aditya Krishna Menon]]&lt;br /&gt;
* [http://edok01.tib.uni-hannover.de/edoks/e01dh13/767033973.pdf Living Analytics Methods for the Social Web] - [[Ernesto Diaz-Aviles]]&lt;br /&gt;
* [http://repository.tudelft.nl/assets/uuid:f7d3977e-f191-40d4-8f27-784a32902a55/thesis_yueshi.pdf Ranking and Context-awareness in Recommender Systems] - [[Yue Shi]]&lt;br /&gt;
* [https://repositorio.uam.es/bitstream/handle/10486/14091/66095_campos%20soto%20pedro%20g..pdf Recommender Systems and Time Context: Characterization of a Robust Evaluation Protocol to Increase Reliability of Measured Improvemenets] - [[Pedro Campos]]&lt;br /&gt;
* [http://users.soe.ucsc.edu/~jwang30/index.files/dissertation-Jian.pdf Session Aware Recommender System in E-Commerce] - [[Jian Wang]]&lt;br /&gt;
* [http://doras.dcu.ie/17737/ Social contextuality and conversational recommender systems] - [[Eoin Hurrell]]&lt;br /&gt;
* [http://liris.cnrs.fr/Documents/Liris-6406.pdf Trace-Based Reasoning for User Assistance and Recommendations] - [[Raafat Zarka]]&lt;br /&gt;
* [http://kth.diva-portal.org/smash/record.jsf?pid=diva2:606503 Trust-Based User Profiling] - [[Nima Dokoohaki]]&lt;br /&gt;
* [http://scidok.sulb.uni-saarland.de/volltexte/2013/5528/pdf/Boehmer_2013_MobileApplicationUsage_low.pdf Understanding and supporting mobile application usage] - [[Matthias Böhmer]]&lt;br /&gt;
* [http://d-scholarship.pitt.edu/19733/ User Contrallability in a Hybrid Recommender System] - [[Denis Parra]]&lt;br /&gt;
&lt;br /&gt;
=== 2012 ===&lt;br /&gt;
* [http://library.epfl.ch/en/theses/?nr=5318 Design and User Perception Issues for Personality-Engaged Recommender Systems] - [[Rong Hu]]&lt;br /&gt;
* [http://www.di.uniba.it/~swap/papers/musto_thesis.pdf Enhanced Vector Space Models for Content-based Recommender Systems] - [[Cataldo Musto]]&lt;br /&gt;
* [http://dalspace.library.dal.ca/bitstream/handle/10222/14735/Lipczak,%20Marek,%20PhD,%20CS,%20March%202012.pdf?sequence=5 Hybrid Tag Recommendation in Collaborative Tagging Systems] - [[Marek Lipczak]]&lt;br /&gt;
* [http://gradworks.umi.com/35/05/3505275.html Interaction Methods for Large Scale Graph Visualization Systems --- Using Manipulation to Aid Discovery] - [[Brynjar Gretarsson]]&lt;br /&gt;
* [http://www.evazangerle.at/wp-content/papercite-data/pdf/evaphd.pdf Leveraging Recommender Systems for the Creation and Maintenance of Structure within Collaborative Social Media Platforms] - [[Eva Zangerle]]&lt;br /&gt;
* [https://eldorado.tu-dortmund.de/bitstream/2003/29661/1/Dissertation.pdf Leveraging Tagging Data for Recommender Systems] - [[Fatih Gedikli]]&lt;br /&gt;
* [http://cseweb.ucsd.edu/~bmcfee/papers/bmcfee_dissertation.pdf More like this: machine learning approaches to music similarity] - [[Brian McFee]]&lt;br /&gt;
* [http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-17249 On some Challenges for Online Trust and Reputation Systems] - [[Mozhgan Tavakolifard]]&lt;br /&gt;
* [http://www.l3s.de/~krestel/cmsimple3_2/?Publications:Others:PhD_Thesis_12 On the Use of Language Models and Topic Models in the Web: New Algorithms for Filtering, Classification, Ranking, and Recommendation] - [[Ralf Krestel]]&lt;br /&gt;
* [http://ir.ii.uam.es/~alejandro/thesis/thesis-bellogin.pdf Performance prediction and evaluation in Recommender Systems: an Information Retrieval perspective] - [[Alejandro Bellogin]]&lt;br /&gt;
* [http://eprints.qut.edu.au/59507/1/Noraswaliza_Abdullah_Thesis.pdf Integrating collaborative filtering and matching-based search for product recommendation] - [[Noraswaliza Abdullah]]&lt;br /&gt;
* [http://www.uns.ac.rs/sr/doktorske/aleksandraKlasnjaMilicevic/disertacija.pdf Personalized Recommendation Based on Collaborative Tagging Techniques for an E-learning System] - [[Aleksandra Klašnja‐Milićević]]&lt;br /&gt;
* [http://arxiv.org/pdf/1203.4487v2 Recommender systems in industrial contexts] - [[Frank Meyer]]&lt;br /&gt;
* [http://opus.bsz-bw.de/ubhi/volltexte/2012/167/pdf/item_recommendation.pdf Supervised Machine Learning Methods for Item Recommendation] - [[Zeno Gantner]]&lt;br /&gt;
* [http://gradworks.umi.com/35/23/3523081.html Understanding Consistency of Recommender Systems: Behavioral and Algorithmic Perspectives] - [[Jingjing Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2011 ===&lt;br /&gt;
* [http://users.cecs.anu.edu.au/~sguo/thesis.pdf Bayesian Recommender Systems: Models and Algorithms] - [[Shengbo Guo]]&lt;br /&gt;
* [http://www.inf.unibz.it/~lbaltrunas/doc/linas_phd_thesis.pdf Context-Aware Collaborative Filtering Recommender Systems] - [[Linas Baltrunas]]&lt;br /&gt;
* [http://benfields.net/bfields_thesis.pdf Contextualize Your Listening: The Playlist as Recommendation Engine] - [[Ben Fields]]&lt;br /&gt;
* [http://www.eric.ed.gov/ERICWebPortal/search/detailmini.jsp?_nfpb=true&amp;amp;_&amp;amp;ERICExtSearch_SearchValue_0=ED534217&amp;amp;ERICExtSearch_SearchType_0=no&amp;amp;accno=ED534217 Deployment of Recommender Systems: Operational and Strategic Issues] - [[Abhijeet Ghoshal]]&lt;br /&gt;
* [http://espace.library.uq.edu.au/view/UQ:263213 Effective and Efficient Collaborative Filtering] - [[Yi Ding]]&lt;br /&gt;
* [http://www.cse.cuhk.edu.hk/lyu/_media/students/thesisxin9.pdf Effective Fusion-based Approaches for Recommender Systems] - [[Xin Xin]]&lt;br /&gt;
* [http://www.aka-verlag.com/de/detail?ean=978-3-89838-332-5 Formal Concept Analysis and Tag Recommendations in Collaborative Tagging Systems] - [[Robert Jäschke]]&lt;br /&gt;
* [http://uclab.khu.ac.kr/resources/thesis/PhD_Thesis_Weiwei.pdf Improved Trust-Aware Recommender System using Small-Worldness of Trust Networks] - [[Weiwei Yuan]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/117321 Personalized Recommendation in Social Network Sites] - [[Jilin Chen]]&lt;br /&gt;
* [http://lac-repo-live7.is.ed.ac.uk/bitstream/1842/5770/1/Givon2011.pdf Predicting and using social tags to improve the accuracy and transparency of recommender systems] - [[Sharon Givon]]&lt;br /&gt;
* [http://slavnik.fe.uni-lj.si/markot/uploads/Main/2010_tkalcic_phd.pdf Recognition and usage of emotive parameters in recommender systems] - [[Marko Tkalčič]]&lt;br /&gt;
* [http://gradworks.umi.com/34/79/3479962.html Swarm intellilgence for clustering dynamic data sets for web usage mining and personalization] - [[Esin Saka]]&lt;br /&gt;
* [http://eprints.qut.edu.au/41879/1/Huizhi_Liang_Thesis.pdf User profiling based on folksonomy information in Web 2.0 for personalized recommender systems] - [[Huizhi Liang]]&lt;br /&gt;
* [http://eprints.qut.edu.au/49168/1/Touhid_Bhuiyan_Thesis.pdf Trust-based automated recommendation making] - [[Touhid Bhuiyan]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/1687272 Using Data Mining for Facilitating User Contributions in the Social Semantic Web] - [[Maryam Ramezani]]&lt;br /&gt;
* [http://gradworks.umi.com/34/49/3449549.html Visualization of music relational information sources for analysis, navigation, and discovery] - [[Justin Donaldson]]&lt;br /&gt;
&lt;br /&gt;
=== 2010 ===&lt;br /&gt;
* [http://www.amazon.com/Domain-Independent-Framework-Intelligent-Recommendations-Application/dp/3838113756 A Domain-Independent Framework for Intelligent Recommendations] - [[Jörn David]]&lt;br /&gt;
* [http://www.cp.jku.at/people/seyerlehner/supervised/seyerlehner_phd.pdf Content-Based Music Recommender Systems: Beyond simple Frame-Level Audio Similarity] - [[Klaus Seyerlehner]]&lt;br /&gt;
* [http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-642-16897-0 Context-Aware Ranking with Factorization Models] - [[Steffen Rendle]]&lt;br /&gt;
* [http://www.cs.ucl.ac.uk/staff/n.lathia/thesis.html Evaluating Collaborative Filtering Over Time] - [[Neal Lathia]]&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2010/2695/pdf/wetzker_robert.pdf Graph-Based Recommendation in Broad Folksonomies] - [[Robert Wetzker]]&lt;br /&gt;
* [http://lib.tkk.fi/Diss/2010/isbn9789526031514/isbn9789526031514.pdf Methods and Applications for Ontology-based Recommender Systems] - [[Tuukka Ruotsalo]]&lt;br /&gt;
* [http://theses.gla.ac.uk/2132/01/2010hopfgartner1phd.pdf Personalised video retrieval: application of implicit feedback and semantic user profiles] - [[Frank Hopfgartner]]&lt;br /&gt;
* [http://www.dsc.ufcg.edu.br/~lbmarinho/homepage/pub/thesis_marinho.pdf Recommender Systems for Social Tagging Systems] - [[Leandro Balby Marinho]]&lt;br /&gt;
* [http://www.verlagdrkovac.de/3-8300-5081-X.htm Recommender Systeme für produktbegleitende Dienstleistungen] - [[Margarethe Frohs]]&lt;br /&gt;
* [http://wrap.warwick.ac.uk/3759/1/WRAP_THESIS_Li_2010.pdf Relational clustering models for knowledge discovery and recommender systems] - [[Tao Li]]&lt;br /&gt;
* [https://biblio.ugent.be/publication/986279/file/1886805.pdf Trust networks for recommender systems] - [[Patricia Victor]]&lt;br /&gt;
* [http://gradworks.umi.com/34/70/3470158.html User session and history modeling for collaborative visualization] - [[Fanhai Yang]]&lt;br /&gt;
&lt;br /&gt;
=== 2009 ===&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2009/2245/pdf/lommatzsch_andreas.pdf Eine offene Architektur für die agentenbasierte, adaptive, personalisierte Informationsfilterung] (German) - [[Andreas Lommatzsch]]&lt;br /&gt;
* [http://www.abdn.ac.uk/~csc284/Nava%20Tintarev_PhD_Thesis_%282010%29.pdf Explaining recommendations] - [[Nava Tintarev]]&lt;br /&gt;
* [http://www.omikk.bme.hu/collections/phd/Villamosmernoki_es_Informatikai_Kar/2010/Pilaszy_Istvan/ertekezes.pdf Factorization-Based Large Scale Recommendation Algorithms] - [[István Pilászy]]&lt;br /&gt;
* [http://www.shilad.com/shilads_thesis.pdf Nurturing Tagging Communities] - [[Shilad Sen]]&lt;br /&gt;
* [http://repository.upenn.edu/dissertations/AAI3363295/ Recommender systems and market diversity] - [[Daniel M. Fleder]]&lt;br /&gt;
* [http://itlab.dbit.dk/~toine/?page_id=6 Recommender Systems for Social Bookmarking] - [[Toine Bogers]]&lt;br /&gt;
* [http://svn.egovmon.no/svn/phdgoodwin/thesis/referenceexample/MMR_thesis_afterDefense.pdf Towards Efficient Music Similarity Search, Ranking, and Recommendation] - [[Maria Magdalena Ruxanda]]&lt;br /&gt;
&lt;br /&gt;
=== 2008 ===&lt;br /&gt;
* [http://essay.utwente.nl/59711/1/MA_thesis_J_de_Wit.pdf Evaluating recommender systems : an evaluation framework to predict user satisfaction for recommender systems in an electronic programme guide context] - [[Joost de Wit]]&lt;br /&gt;
* [http://arantxa.ii.uam.es/~cantador/doc/2008/thesis08.zip Exploiting the Conceptual Space in Hybrid Recommender Systems: a Semantic-based Approach] - [[Iván Cantador]]&lt;br /&gt;
* [http://eprints.qut.edu.au/29165/2/Li-Tung_Weng_Thesis.pdf Information Enrichment for Quality Recommender Systems] - [[Li-Tung Weng]]&lt;br /&gt;
* [http://tomheath.com/thesis/html Information-seeking on the Web with Trusted Social Networks – from Theory to Systems] - [[Tom Heath]]&lt;br /&gt;
* [http://www.cs.umass.edu/~marlin/research/phd_thesis/marlin-phd-thesis.pdf Missing Data Problems in Machine Learning] - [[Benjamin Marlin]]&lt;br /&gt;
* [http://mtg.upf.edu/node/1217 Music Recommendation and Discovery in the Long Tail] - [[Òscar Celma]]&lt;br /&gt;
* [http://hal.inria.fr/docs/00/34/83/70/PDF/TeseFinal.pdf Recommender System based on Personality Traits] - [[Maria Augusta Silveira Netto Nunes]]&lt;br /&gt;
* [http://winnie.kuis.kyoto-u.ac.jp/members/yoshii/d-thesis-yoshii.pdf Studies on Hybrid Music Recommendation Using Timbral and Rhythmic Features] - [[Kazuyoshi Yoshii]]&lt;br /&gt;
* [http://www.peterlang.com/index.cfm?event=cmp.ccc.seitenstruktur.detailseiten&amp;amp;seitentyp=produkt&amp;amp;pk=56341&amp;amp;cid=367 Towards Metadata-aware Algorithms for Recommender Systems] - [[Karen H. L. Tso-Sutter]]&lt;br /&gt;
* [http://hci.epfl.ch/members/lichen/EPFL_TH4140.pdf User Decision Improvement and Trust Building in Product Recommender Systems] - [[Li Chen]]&lt;br /&gt;
&lt;br /&gt;
=== 2007 ===&lt;br /&gt;
* [http://www.ulrichpaquet.com/Papers/PhDThesis.pdf Bayesian Inference for Latent Variable Models] - [[Ulrich Paquet]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~arashid/thesis.pdf Mining Influence in Recommender Systems] - [[Al Mamunur Rashid]]&lt;br /&gt;
* [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.91.2714&amp;amp;rep=rep1&amp;amp;type=pdf Building Trustworthy Recommender Systems] - [[Sheng Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2006 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1269509 Designing social interactions with animated avatars and speech output for product recommendation agents in electronic commerce] - [[Lingyun Qiu]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~mcnee/mcnee-thesis-preprint.pdf Meeting User Information Needs in Recommender Systems] - [[Sean McNee]]&lt;br /&gt;
&lt;br /&gt;
=== 2005 ===&lt;br /&gt;
* [http://eprints.ecs.soton.ac.uk/10692/1/wei-phd-thesis.pdf A Market-Based Approach to Recommender Systems] - [[Yan Zheng Wei]]&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1123874 Explanet: a learning tool and hybrid recommender system for student-authored explanations] - [[Jessica Masters]]&lt;br /&gt;
* Hybrid recommendation techniques based on user profiles - [[Pasquale Lops]]&lt;br /&gt;
* [http://www.princeton.edu/~smorris/pdfs/PhD/Ozmen.pdf Information Transmission and Recommender Systems] - [[Deran Özmen]]&lt;br /&gt;
* [https://doc.telin.nl/dsweb/Get/Document-56873 Supporting People In Finding Information: Hybrid Recommender Systems and Goal-Based Structuring] - [[Mark van Setten]]&lt;br /&gt;
* [http://www.freidok.uni-freiburg.de/volltexte/1804/pdf/Thesis.pdf Towards Decentralized Recommender Systems] - [[Cai-Nicolas Ziegler]]&lt;br /&gt;
* [http://dspace.mit.edu/bitstream/handle/1721.1/31137/61184336.pdf?sequence=1 Use of Discrete Choice Models with Recommender Systems] - [[Bassam H. Chaptini]]&lt;br /&gt;
&lt;br /&gt;
=== 2004 ===&lt;br /&gt;
&lt;br /&gt;
=== 2003 ===&lt;br /&gt;
* [http://eia.udg.es/~mmontane/montaner-thesis03.pdf Collaborative recommender agents based on case-based reasoning and trust] - [[Miquel Montaner]]&lt;br /&gt;
* [https://circle.ubc.ca/bitstream/handle/2429/14933/ubc_2003-859525.pdf?sequence=1 The Impact of Internalization and Familiarity on Trust and Adoption of Recommendation Agents] - [[Sherrie Komiak]]&lt;br /&gt;
* [http://knuth.luther.edu/~bmiller/Papers/thesis.pdf Toward a Personal Recommender System] - [[Bradley N. Miller]]&lt;br /&gt;
&lt;br /&gt;
=== 2002 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=935978 Recommendation as classification and recommendation as matching: two information-centered approaches to recommendation] - [[Chumki Basu]]&lt;br /&gt;
&lt;br /&gt;
=== 2001 ===&lt;br /&gt;
* [http://www.patrickbaudisch.com/publications/2001-Baudisch-Dissertation-DynamicInformationFiltering.pdf Dynamic Information Filtering] - [[Patrick Baudisch]]&lt;br /&gt;
* [http://www.cs.uni.edu/~schafer/publications/schafer_thesis.pdf MetaLens: A Framework for Multsource Recommendations] - [[Ben Schafer]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~sarwar/thesis.ps Sparsity, scalability, and distribution in recommender systems] - [[Badrul Munir Sarwar]]&lt;br /&gt;
&lt;br /&gt;
=== 2000 ===&lt;br /&gt;
&lt;br /&gt;
=== 1999 ===&lt;br /&gt;
&lt;br /&gt;
=== 1998 ===&lt;br /&gt;
&lt;br /&gt;
=== 1997 ===&lt;br /&gt;
* Recommender Systems for Problem Solving Environments - [[Naren Ramakrishnan]]&lt;br /&gt;
&lt;br /&gt;
== External links ==&lt;br /&gt;
* [http://pampalk.at/mir-phds/ PhD Theses and Doctoral Dissertations Related to Music Information Retrieval]&lt;br /&gt;
* [http://www.mendeley.com/groups/3058301/recommender-system-dissertations/papers/ Mendeley collection of Recommender System dissertations] (based on this page)&lt;br /&gt;
&lt;br /&gt;
[[Category: List|Dissertation]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2434</id>
		<title>List of recommender system dissertations</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2434"/>
		<updated>2020-09-25T19:07:20Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Recommender systems]] related '''''doctoral''''' dissertations by year. For other types of theses see:&lt;br /&gt;
* [[List of recommender systems master's theses]]&lt;br /&gt;
* [[List of recommender systems bachelor's theses]]&lt;br /&gt;
&lt;br /&gt;
Dissertation within a year are sorted alphabetically by title.&lt;br /&gt;
&lt;br /&gt;
=== 2016 ===&lt;br /&gt;
* [https://www.jku.at/fileadmin/gruppen/173/Research/Ferwerda_Dissertation_final-komprimiert.pdf Improving the User Experience of Music Recommender Systems Through Personality and Cultural Information] - [[Bruce Ferwerda]]&lt;br /&gt;
&lt;br /&gt;
=== 2015 ===&lt;br /&gt;
* [http://yu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002052536 A Weighted User Similarity Model for Cold Start Recommendations] - [[Parivash Pirasteh]]&lt;br /&gt;
* [http://krex.k-state.edu/dspace/bitstream/handle/2097/19779/RohitParimi2015.pdf?sequence=6&amp;amp;isAllowed=y Collaborative Filtering Approaches for Single-domains and Cross-domain Recommender Systems] - [[Rohit Parimi]]&lt;br /&gt;
* [http://ir.ii.uam.es/saul/saulvargas-thesis.pdf Novelty and Diversity Evaluation and Enhancement in Recommender Systems] - [[Saúl Vargas]]&lt;br /&gt;
* [http://docear.org/papers/Towards%20Effective%20Research-Paper%20Recommender%20Systems%20and%20User%20Modeling%20based%20on%20Mind%20Maps.pdf Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Maps] - Joeran Beel&lt;br /&gt;
&lt;br /&gt;
=== 2014 ===&lt;br /&gt;
* [http://scholarlyrepository.miami.edu/cgi/viewcontent.cgi?article=2209&amp;amp;context=oa_dissertations A Model-Based Music Recommendation System for Individual Users and Implicit User Groups] - [[Yajie Hu]] &lt;br /&gt;
* [https://boa.unimib.it/retrieve/handle/10281/70560/104693/PhD_unimib_%20%09732150%20.pdf Advancing Recommender Systems from the Algorithm, Interface and Methodological Perspective] - [[Marco Rossetti]]&lt;br /&gt;
* [http://infoscience.epfl.ch/record/199806 Aggregating Information from the Crowd: ratings, recommendations and predictions] - [[Florent Garcin]]&lt;br /&gt;
* [http://wanlab.poly.edu/xiwang/doc/thesis.pdf Collaborative Filtering Based Social Recommender Systems] - [[Xiwang Yang]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/3158723 Cross-domain Recommendations based on semantically-enhanced User Web Behavior] - [[Julia Hoxha]] &lt;br /&gt;
* [http://www.win.tue.nl/ipa/?event=cryptographically-enhanced-privacy-for-recommender-systems Cryptographically-Enhanced Privacy for Recommender Systems] - [[Arjan Jeckmans]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/11299/167084 Database management system support for collaborative filtering recommender systems] - [[Mohamed Sarwat]]&lt;br /&gt;
* [https://www.researchgate.net/publication/292991578_Empirical_Evaluation_of_Active_Learning_Strategies_in_Collaborative_Filtering Empirical Evaluation of Active Learning Strategies in Collaborative Filtering] - [[Mehdi Elahi]]&lt;br /&gt;
* [http://bit.ly/simonphd Dynamic Generation of Personalized Hybrid Recommender Systems] - [[Simon Dooms]]&lt;br /&gt;
* Enhancing Discovery in Geoportals: Geo-Enrichment, Semantic Enhancement and Recommendation Strategies for Geo-Information Discovery - [[Bernhard Vockner]]&lt;br /&gt;
* [http://www.lsi.upc.edu/~vcodina/phd.pdf Exploiting Distributional Semantics for Content-Based and Context-Aware Recommendation] - [[Victor Codina]]&lt;br /&gt;
* [http://micheletrevisiol.com/data/Exploiting_Implicit_User_Activity_for_Media_Recommendation.pdf Exploiting Implicit User Activity for Media Recommendation] - [[Michele Trevisiol]]&lt;br /&gt;
* [http://arks.princeton.edu/ark:/88435/dsp01nv935299q Information Aggregation in Quantized Consensus, Recommender Systems, and Ranking] - [[Shang Shang]]&lt;br /&gt;
* [http://repository.lib.ncsu.edu/ir/bitstream/1840.16/9727/1/etd.pdf More Usable Recommendation Systems for Improving Software Quality] - [[Yoonki Song]]&lt;br /&gt;
* [http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=2550&amp;amp;context=etd Next Generation of Recommender Systems: Algorithms and Applications] - [[Lei Li]]&lt;br /&gt;
* [https://tel.archives-ouvertes.fr/tel-01135312/document Privacy-enabled scalable recommender systems] -[[Andrés Moreno]]&lt;br /&gt;
* [http://ethesis.unifr.ch/theses/downloads.php?file=TeranL.pdf SmartParticipation: A Fuzzy-Based Recommender System for Political Community-Building] - [[Luis Fernando Terán Tamayo]]&lt;br /&gt;
* [http://elehack.net/research/thesis/ Towards Recommender Engineering: Tools and Experiments for Identifying Recommender Differences] - [[Michael Ekstrand]]&lt;br /&gt;
* [http://tampub.uta.fi/bitstream/handle/10024/95965/978-951-44-9551-9.pdf User Factors in Recommender Systems: Case Studies in e-Commerce, News Recommending, and e-Learning] - [[Juha Leino]]&lt;br /&gt;
&lt;br /&gt;
=== 2013 ===&lt;br /&gt;
* [http://interactivesystems.info/publications/a-conceptual-model-and-a-software-framework-for-developing-context-aware-hybrid-recommender-systems A conceptual model and a software framework for developing context aware hybrid recommender systems] - [[Tim Hussein]]&lt;br /&gt;
* [http://shodhganga.inflibnet.ac.in/handle/10603/24399 Effective tag recommendation system based on topic ontology] - [[V Subramaniyaswamy]]&lt;br /&gt;
* [http://eprints.ucm.es/24533/ Estrategias de recomendación basadas en conocimiento para la localización personalizada de recursos en repositorios educativos] (Spanish) - [[Almudena Ruiz-Iniesta]]&lt;br /&gt;
* [http://opus4.kobv.de/opus4-tuberlin/frontdoor/index/index/docId/3681 Evaluating the Accuracy and Utility of Recommender Systems] - [[Alan Said]]&lt;br /&gt;
* [http://julian-urbano.info/publications/061-evaluation-audio-music-similarity Evaluation in Audio Music Similarity] - [[Julián Urbano]]&lt;br /&gt;
* [https://biblio.ugent.be/input/download?func=downloadFile&amp;amp;recordOId=4163727&amp;amp;fileOId=4163752 Improved online services by personalized recommendations and optimal quality of experience parameters] - [[Toon De Pessemier]]&lt;br /&gt;
* [http://hdl.handle.net/10059/859 Integrating Content and Semantic Representations for Music Recommendation] - [[Ben Horsburgh]]&lt;br /&gt;
* [http://escholarship.org/uc/item/4xw874p5#page-1 Latent feature models for dyadic prediction] - [[Aditya Krishna Menon]]&lt;br /&gt;
* [http://edok01.tib.uni-hannover.de/edoks/e01dh13/767033973.pdf Living Analytics Methods for the Social Web] - [[Ernesto Diaz-Aviles]]&lt;br /&gt;
* [http://repository.tudelft.nl/assets/uuid:f7d3977e-f191-40d4-8f27-784a32902a55/thesis_yueshi.pdf Ranking and Context-awareness in Recommender Systems] - [[Yue Shi]]&lt;br /&gt;
* [https://repositorio.uam.es/bitstream/handle/10486/14091/66095_campos%20soto%20pedro%20g..pdf Recommender Systems and Time Context: Characterization of a Robust Evaluation Protocol to Increase Reliability of Measured Improvemenets] - [[Pedro Campos]]&lt;br /&gt;
* [http://users.soe.ucsc.edu/~jwang30/index.files/dissertation-Jian.pdf Session Aware Recommender System in E-Commerce] - [[Jian Wang]]&lt;br /&gt;
* [http://doras.dcu.ie/17737/ Social contextuality and conversational recommender systems] - [[Eoin Hurrell]]&lt;br /&gt;
* [http://liris.cnrs.fr/Documents/Liris-6406.pdf Trace-Based Reasoning for User Assistance and Recommendations] - [[Raafat Zarka]]&lt;br /&gt;
* [http://kth.diva-portal.org/smash/record.jsf?pid=diva2:606503 Trust-Based User Profiling] - [[Nima Dokoohaki]]&lt;br /&gt;
* [http://scidok.sulb.uni-saarland.de/volltexte/2013/5528/pdf/Boehmer_2013_MobileApplicationUsage_low.pdf Understanding and supporting mobile application usage] - [[Matthias Böhmer]]&lt;br /&gt;
* [http://d-scholarship.pitt.edu/19733/ User Contrallability in a Hybrid Recommender System] - [[Denis Parra]]&lt;br /&gt;
&lt;br /&gt;
=== 2012 ===&lt;br /&gt;
* [http://library.epfl.ch/en/theses/?nr=5318 Design and User Perception Issues for Personality-Engaged Recommender Systems] - [[Rong Hu]]&lt;br /&gt;
* [http://www.di.uniba.it/~swap/papers/musto_thesis.pdf Enhanced Vector Space Models for Content-based Recommender Systems] - [[Cataldo Musto]]&lt;br /&gt;
* [http://dalspace.library.dal.ca/bitstream/handle/10222/14735/Lipczak,%20Marek,%20PhD,%20CS,%20March%202012.pdf?sequence=5 Hybrid Tag Recommendation in Collaborative Tagging Systems] - [[Marek Lipczak]]&lt;br /&gt;
* [http://gradworks.umi.com/35/05/3505275.html Interaction Methods for Large Scale Graph Visualization Systems --- Using Manipulation to Aid Discovery] - [[Brynjar Gretarsson]]&lt;br /&gt;
* [http://www.evazangerle.at/wp-content/papercite-data/pdf/evaphd.pdf Leveraging Recommender Systems for the Creation and Maintenance of Structure within Collaborative Social Media Platforms] - [[Eva Zangerle]]&lt;br /&gt;
* [https://eldorado.tu-dortmund.de/bitstream/2003/29661/1/Dissertation.pdf Leveraging Tagging Data for Recommender Systems] - [[Fatih Gedikli]]&lt;br /&gt;
* [http://cseweb.ucsd.edu/~bmcfee/papers/bmcfee_dissertation.pdf More like this: machine learning approaches to music similarity] - [[Brian McFee]]&lt;br /&gt;
* [http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-17249 On some Challenges for Online Trust and Reputation Systems] - [[Mozhgan Tavakolifard]]&lt;br /&gt;
* [http://www.l3s.de/~krestel/cmsimple3_2/?Publications:Others:PhD_Thesis_12 On the Use of Language Models and Topic Models in the Web: New Algorithms for Filtering, Classification, Ranking, and Recommendation] - [[Ralf Krestel]]&lt;br /&gt;
* [http://ir.ii.uam.es/~alejandro/thesis/thesis-bellogin.pdf Performance prediction and evaluation in Recommender Systems: an Information Retrieval perspective] - [[Alejandro Bellogin]]&lt;br /&gt;
* [http://eprints.qut.edu.au/59507/1/Noraswaliza_Abdullah_Thesis.pdf Integrating collaborative filtering and matching-based search for product recommendation] - [[Noraswaliza Abdullah]]&lt;br /&gt;
* [http://www.uns.ac.rs/sr/doktorske/aleksandraKlasnjaMilicevic/disertacija.pdf Personalized Recommendation Based on Collaborative Tagging Techniques for an E-learning System] - [[Aleksandra Klašnja‐Milićević]]&lt;br /&gt;
* [http://arxiv.org/pdf/1203.4487v2 Recommender systems in industrial contexts] - [[Frank Meyer]]&lt;br /&gt;
* [http://opus.bsz-bw.de/ubhi/volltexte/2012/167/pdf/item_recommendation.pdf Supervised Machine Learning Methods for Item Recommendation] - [[Zeno Gantner]]&lt;br /&gt;
* [http://gradworks.umi.com/35/23/3523081.html Understanding Consistency of Recommender Systems: Behavioral and Algorithmic Perspectives] - [[Jingjing Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2011 ===&lt;br /&gt;
* [http://users.cecs.anu.edu.au/~sguo/thesis.pdf Bayesian Recommender Systems: Models and Algorithms] - [[Shengbo Guo]]&lt;br /&gt;
* [http://www.inf.unibz.it/~lbaltrunas/doc/linas_phd_thesis.pdf Context-Aware Collaborative Filtering Recommender Systems] - [[Linas Baltrunas]]&lt;br /&gt;
* [http://benfields.net/bfields_thesis.pdf Contextualize Your Listening: The Playlist as Recommendation Engine] - [[Ben Fields]]&lt;br /&gt;
* [http://www.eric.ed.gov/ERICWebPortal/search/detailmini.jsp?_nfpb=true&amp;amp;_&amp;amp;ERICExtSearch_SearchValue_0=ED534217&amp;amp;ERICExtSearch_SearchType_0=no&amp;amp;accno=ED534217 Deployment of Recommender Systems: Operational and Strategic Issues] - [[Abhijeet Ghoshal]]&lt;br /&gt;
* [http://espace.library.uq.edu.au/view/UQ:263213 Effective and Efficient Collaborative Filtering] - [[Yi Ding]]&lt;br /&gt;
* [http://www.cse.cuhk.edu.hk/lyu/_media/students/thesisxin9.pdf Effective Fusion-based Approaches for Recommender Systems] - [[Xin Xin]]&lt;br /&gt;
* [http://www.aka-verlag.com/de/detail?ean=978-3-89838-332-5 Formal Concept Analysis and Tag Recommendations in Collaborative Tagging Systems] - [[Robert Jäschke]]&lt;br /&gt;
* [http://uclab.khu.ac.kr/resources/thesis/PhD_Thesis_Weiwei.pdf Improved Trust-Aware Recommender System using Small-Worldness of Trust Networks] - [[Weiwei Yuan]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/117321 Personalized Recommendation in Social Network Sites] - [[Jilin Chen]]&lt;br /&gt;
* [http://lac-repo-live7.is.ed.ac.uk/bitstream/1842/5770/1/Givon2011.pdf Predicting and using social tags to improve the accuracy and transparency of recommender systems] - [[Sharon Givon]]&lt;br /&gt;
* [http://slavnik.fe.uni-lj.si/markot/uploads/Main/2010_tkalcic_phd.pdf Recognition and usage of emotive parameters in recommender systems] - [[Marko Tkalčič]]&lt;br /&gt;
* [http://gradworks.umi.com/34/79/3479962.html Swarm intellilgence for clustering dynamic data sets for web usage mining and personalization] - [[Esin Saka]]&lt;br /&gt;
* [http://eprints.qut.edu.au/41879/1/Huizhi_Liang_Thesis.pdf User profiling based on folksonomy information in Web 2.0 for personalized recommender systems] - [[Huizhi Liang]]&lt;br /&gt;
* [http://eprints.qut.edu.au/49168/1/Touhid_Bhuiyan_Thesis.pdf Trust-based automated recommendation making] - [[Touhid Bhuiyan]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/1687272 Using Data Mining for Facilitating User Contributions in the Social Semantic Web] - [[Maryam Ramezani]]&lt;br /&gt;
* [http://gradworks.umi.com/34/49/3449549.html Visualization of music relational information sources for analysis, navigation, and discovery] - [[Justin Donaldson]]&lt;br /&gt;
&lt;br /&gt;
=== 2010 ===&lt;br /&gt;
* [http://www.amazon.com/Domain-Independent-Framework-Intelligent-Recommendations-Application/dp/3838113756 A Domain-Independent Framework for Intelligent Recommendations] - [[Jörn David]]&lt;br /&gt;
* [http://www.cp.jku.at/people/seyerlehner/supervised/seyerlehner_phd.pdf Content-Based Music Recommender Systems: Beyond simple Frame-Level Audio Similarity] - [[Klaus Seyerlehner]]&lt;br /&gt;
* [http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-642-16897-0 Context-Aware Ranking with Factorization Models] - [[Steffen Rendle]]&lt;br /&gt;
* [http://www.cs.ucl.ac.uk/staff/n.lathia/thesis.html Evaluating Collaborative Filtering Over Time] - [[Neal Lathia]]&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2010/2695/pdf/wetzker_robert.pdf Graph-Based Recommendation in Broad Folksonomies] - [[Robert Wetzker]]&lt;br /&gt;
* [http://lib.tkk.fi/Diss/2010/isbn9789526031514/isbn9789526031514.pdf Methods and Applications for Ontology-based Recommender Systems] - [[Tuukka Ruotsalo]]&lt;br /&gt;
* [http://theses.gla.ac.uk/2132/01/2010hopfgartner1phd.pdf Personalised video retrieval: application of implicit feedback and semantic user profiles] - [[Frank Hopfgartner]]&lt;br /&gt;
* [http://www.dsc.ufcg.edu.br/~lbmarinho/homepage/pub/thesis_marinho.pdf Recommender Systems for Social Tagging Systems] - [[Leandro Balby Marinho]]&lt;br /&gt;
* [http://www.verlagdrkovac.de/3-8300-5081-X.htm Recommender Systeme für produktbegleitende Dienstleistungen] - [[Margarethe Frohs]]&lt;br /&gt;
* [http://wrap.warwick.ac.uk/3759/1/WRAP_THESIS_Li_2010.pdf Relational clustering models for knowledge discovery and recommender systems] - [[Tao Li]]&lt;br /&gt;
* [https://biblio.ugent.be/publication/986279/file/1886805.pdf Trust networks for recommender systems] - [[Patricia Victor]]&lt;br /&gt;
* [http://gradworks.umi.com/34/70/3470158.html User session and history modeling for collaborative visualization] - [[Fanhai Yang]]&lt;br /&gt;
&lt;br /&gt;
=== 2009 ===&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2009/2245/pdf/lommatzsch_andreas.pdf Eine offene Architektur für die agentenbasierte, adaptive, personalisierte Informationsfilterung] (German) - [[Andreas Lommatzsch]]&lt;br /&gt;
* [http://www.abdn.ac.uk/~csc284/Nava%20Tintarev_PhD_Thesis_%282010%29.pdf Explaining recommendations] - [[Nava Tintarev]]&lt;br /&gt;
* [http://www.omikk.bme.hu/collections/phd/Villamosmernoki_es_Informatikai_Kar/2010/Pilaszy_Istvan/ertekezes.pdf Factorization-Based Large Scale Recommendation Algorithms] - [[István Pilászy]]&lt;br /&gt;
* [http://www.shilad.com/shilads_thesis.pdf Nurturing Tagging Communities] - [[Shilad Sen]]&lt;br /&gt;
* [http://repository.upenn.edu/dissertations/AAI3363295/ Recommender systems and market diversity] - [[Daniel M. Fleder]]&lt;br /&gt;
* [http://itlab.dbit.dk/~toine/?page_id=6 Recommender Systems for Social Bookmarking] - [[Toine Bogers]]&lt;br /&gt;
* [http://svn.egovmon.no/svn/phdgoodwin/thesis/referenceexample/MMR_thesis_afterDefense.pdf Towards Efficient Music Similarity Search, Ranking, and Recommendation] - [[Maria Magdalena Ruxanda]]&lt;br /&gt;
&lt;br /&gt;
=== 2008 ===&lt;br /&gt;
* [http://essay.utwente.nl/59711/1/MA_thesis_J_de_Wit.pdf Evaluating recommender systems : an evaluation framework to predict user satisfaction for recommender systems in an electronic programme guide context] - [[Joost de Wit]]&lt;br /&gt;
* [http://arantxa.ii.uam.es/~cantador/doc/2008/thesis08.zip Exploiting the Conceptual Space in Hybrid Recommender Systems: a Semantic-based Approach] - [[Iván Cantador]]&lt;br /&gt;
* [http://eprints.qut.edu.au/29165/2/Li-Tung_Weng_Thesis.pdf Information Enrichment for Quality Recommender Systems] - [[Li-Tung Weng]]&lt;br /&gt;
* [http://tomheath.com/thesis/html Information-seeking on the Web with Trusted Social Networks – from Theory to Systems] - [[Tom Heath]]&lt;br /&gt;
* [http://www.cs.umass.edu/~marlin/research/phd_thesis/marlin-phd-thesis.pdf Missing Data Problems in Machine Learning] - [[Benjamin Marlin]]&lt;br /&gt;
* [http://mtg.upf.edu/node/1217 Music Recommendation and Discovery in the Long Tail] - [[Òscar Celma]]&lt;br /&gt;
* [http://hal.inria.fr/docs/00/34/83/70/PDF/TeseFinal.pdf Recommender System based on Personality Traits] - [[Maria Augusta Silveira Netto Nunes]]&lt;br /&gt;
* [http://winnie.kuis.kyoto-u.ac.jp/members/yoshii/d-thesis-yoshii.pdf Studies on Hybrid Music Recommendation Using Timbral and Rhythmic Features] - [[Kazuyoshi Yoshii]]&lt;br /&gt;
* [http://www.peterlang.com/index.cfm?event=cmp.ccc.seitenstruktur.detailseiten&amp;amp;seitentyp=produkt&amp;amp;pk=56341&amp;amp;cid=367 Towards Metadata-aware Algorithms for Recommender Systems] - [[Karen H. L. Tso-Sutter]]&lt;br /&gt;
* [http://hci.epfl.ch/members/lichen/EPFL_TH4140.pdf User Decision Improvement and Trust Building in Product Recommender Systems] - [[Li Chen]]&lt;br /&gt;
&lt;br /&gt;
=== 2007 ===&lt;br /&gt;
* [http://www.ulrichpaquet.com/Papers/PhDThesis.pdf Bayesian Inference for Latent Variable Models] - [[Ulrich Paquet]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~arashid/thesis.pdf Mining Influence in Recommender Systems] - [[Al Mamunur Rashid]]&lt;br /&gt;
* [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.91.2714&amp;amp;rep=rep1&amp;amp;type=pdf Building Trustworthy Recommender Systems] - [[Sheng Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2006 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1269509 Designing social interactions with animated avatars and speech output for product recommendation agents in electronic commerce] - [[Lingyun Qiu]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~mcnee/mcnee-thesis-preprint.pdf Meeting User Information Needs in Recommender Systems] - [[Sean McNee]]&lt;br /&gt;
&lt;br /&gt;
=== 2005 ===&lt;br /&gt;
* [http://eprints.ecs.soton.ac.uk/10692/1/wei-phd-thesis.pdf A Market-Based Approach to Recommender Systems] - [[Yan Zheng Wei]]&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1123874 Explanet: a learning tool and hybrid recommender system for student-authored explanations] - [[Jessica Masters]]&lt;br /&gt;
* Hybrid recommendation techniques based on user profiles - [[Pasquale Lops]]&lt;br /&gt;
* [http://www.princeton.edu/~smorris/pdfs/PhD/Ozmen.pdf Information Transmission and Recommender Systems] - [[Deran Özmen]]&lt;br /&gt;
* [https://doc.telin.nl/dsweb/Get/Document-56873 Supporting People In Finding Information: Hybrid Recommender Systems and Goal-Based Structuring] - [[Mark van Setten]]&lt;br /&gt;
* [http://www.freidok.uni-freiburg.de/volltexte/1804/pdf/Thesis.pdf Towards Decentralized Recommender Systems] - [[Cai-Nicolas Ziegler]]&lt;br /&gt;
* [http://dspace.mit.edu/bitstream/handle/1721.1/31137/61184336.pdf?sequence=1 Use of Discrete Choice Models with Recommender Systems] - [[Bassam H. Chaptini]]&lt;br /&gt;
&lt;br /&gt;
=== 2004 ===&lt;br /&gt;
&lt;br /&gt;
=== 2003 ===&lt;br /&gt;
* [http://eia.udg.es/~mmontane/montaner-thesis03.pdf Collaborative recommender agents based on case-based reasoning and trust] - [[Miquel Montaner]]&lt;br /&gt;
* [https://circle.ubc.ca/bitstream/handle/2429/14933/ubc_2003-859525.pdf?sequence=1 The Impact of Internalization and Familiarity on Trust and Adoption of Recommendation Agents] - [[Sherrie Komiak]]&lt;br /&gt;
* [http://knuth.luther.edu/~bmiller/Papers/thesis.pdf Toward a Personal Recommender System] - [[Bradley N. Miller]]&lt;br /&gt;
&lt;br /&gt;
=== 2002 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=935978 Recommendation as classification and recommendation as matching: two information-centered approaches to recommendation] - [[Chumki Basu]]&lt;br /&gt;
&lt;br /&gt;
=== 2001 ===&lt;br /&gt;
* [http://www.patrickbaudisch.com/publications/2001-Baudisch-Dissertation-DynamicInformationFiltering.pdf Dynamic Information Filtering] - [[Patrick Baudisch]]&lt;br /&gt;
* [http://www.cs.uni.edu/~schafer/publications/schafer_thesis.pdf MetaLens: A Framework for Multsource Recommendations] - [[Ben Schafer]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~sarwar/thesis.ps Sparsity, scalability, and distribution in recommender systems] - [[Badrul Munir Sarwar]]&lt;br /&gt;
&lt;br /&gt;
=== 2000 ===&lt;br /&gt;
&lt;br /&gt;
=== 1999 ===&lt;br /&gt;
&lt;br /&gt;
=== 1998 ===&lt;br /&gt;
&lt;br /&gt;
=== 1997 ===&lt;br /&gt;
* Recommender Systems for Problem Solving Environments - [[Naren Ramakrishnan]]&lt;br /&gt;
&lt;br /&gt;
== External links ==&lt;br /&gt;
* [http://pampalk.at/mir-phds/ PhD Theses and Doctoral Dissertations Related to Music Information Retrieval]&lt;br /&gt;
* [http://www.mendeley.com/groups/3058301/recommender-system-dissertations/papers/ Mendeley collection of Recommender System dissertations] (based on this page)&lt;br /&gt;
&lt;br /&gt;
[[Category: List|Dissertation]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=RecSysWiki:Current_events&amp;diff=2433</id>
		<title>RecSysWiki:Current events</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=RecSysWiki:Current_events&amp;diff=2433"/>
		<updated>2020-09-25T19:04:24Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;''Feel free to add current/upcoming events about recommender systems here.''&lt;br /&gt;
&lt;br /&gt;
__NOTOC__&lt;br /&gt;
&lt;br /&gt;
== Ongoing ==&lt;br /&gt;
&lt;br /&gt;
* 2020-09-22: [https://recsys.acm.org/recsys20/dates/ ACM RecSys 2020]&lt;br /&gt;
&lt;br /&gt;
== Upcoming ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category: Event| ]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2366</id>
		<title>List of recommender system dissertations</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2366"/>
		<updated>2016-02-08T13:07:37Z</updated>

		<summary type="html">&lt;p&gt;Alan: /* 2014 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Recommender systems]] related '''''doctoral''''' dissertations by year. For other types of theses see:&lt;br /&gt;
* [[List of recommender systems master's theses]]&lt;br /&gt;
* [[List of recommender systems bachelor's theses]]&lt;br /&gt;
&lt;br /&gt;
Dissertation within a year are sorted alphabetically by title.&lt;br /&gt;
&lt;br /&gt;
=== 2015 ===&lt;br /&gt;
* [http://yu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002052536 A Weighted User Similarity Model for Cold Start Recommendations] - [[Parivash Pirasteh]]&lt;br /&gt;
* [http://krex.k-state.edu/dspace/bitstream/handle/2097/19779/RohitParimi2015.pdf?sequence=6&amp;amp;isAllowed=y Collaborative Filtering Approaches for Single-domains and Cross-domain Recommender Systems] - [[Rohit Parimi]]&lt;br /&gt;
* [http://ir.ii.uam.es/saul/saulvargas-thesis.pdf Novelty and Diversity Evaluation and Enhancement in Recommender Systems] - [[Saúl Vargas]]&lt;br /&gt;
* [http://docear.org/papers/Towards%20Effective%20Research-Paper%20Recommender%20Systems%20and%20User%20Modeling%20based%20on%20Mind%20Maps.pdf Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Maps] - Joeran Beel&lt;br /&gt;
&lt;br /&gt;
=== 2014 ===&lt;br /&gt;
* [http://scholarlyrepository.miami.edu/cgi/viewcontent.cgi?article=2209&amp;amp;context=oa_dissertations A Model-Based Music Recommendation System for Individual Users and Implicit User Groups] - [[Yajie Hu]] &lt;br /&gt;
* [https://boa.unimib.it/retrieve/handle/10281/70560/104693/PhD_unimib_%20%09732150%20.pdf Advancing Recommender Systems from the Algorithm, Interface and Methodological Perspective] - [[Marco Rossetti]]&lt;br /&gt;
* [http://infoscience.epfl.ch/record/199806 Aggregating Information from the Crowd: ratings, recommendations and predictions] - [[Florent Garcin]]&lt;br /&gt;
* [http://wanlab.poly.edu/xiwang/doc/thesis.pdf Collaborative Filtering Based Social Recommender Systems] - [[Xiwang Yang]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/3158723 Cross-domain Recommendations based on semantically-enhanced User Web Behavior] - [[Julia Hoxha]] &lt;br /&gt;
* [http://www.win.tue.nl/ipa/?event=cryptographically-enhanced-privacy-for-recommender-systems Cryptographically-Enhanced Privacy for Recommender Systems] - [[Arjan Jeckmans]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/11299/167084 Database management system support for collaborative filtering recommender systems] - [[Mohamed Sarwat]]&lt;br /&gt;
* [https://www.researchgate.net/publication/292991578_Empirical_Evaluation_of_Active_Learning_Strategies_in_Collaborative_Filtering Empirical Evaluation of Active Learning Strategies in Collaborative Filtering] - [[Mehdi Elahi]]&lt;br /&gt;
* [http://bit.ly/simonphd Dynamic Generation of Personalized Hybrid Recommender Systems] - [[Simon Dooms]]&lt;br /&gt;
* Enhancing Discovery in Geoportals: Geo-Enrichment, Semantic Enhancement and Recommendation Strategies for Geo-Information Discovery - [[Bernhard Vockner]]&lt;br /&gt;
* [http://www.lsi.upc.edu/~vcodina/phd.pdf Exploiting Distributional Semantics for Content-Based and Context-Aware Recommendation] - [[Victor Codina]]&lt;br /&gt;
* [http://micheletrevisiol.com/data/Exploiting_Implicit_User_Activity_for_Media_Recommendation.pdf Exploiting Implicit User Activity for Media Recommendation] - [[Michele Trevisiol]]&lt;br /&gt;
* [http://arks.princeton.edu/ark:/88435/dsp01nv935299q Information Aggregation in Quantized Consensus, Recommender Systems, and Ranking] - [[Shang Shang]]&lt;br /&gt;
* [http://repository.lib.ncsu.edu/ir/bitstream/1840.16/9727/1/etd.pdf More Usable Recommendation Systems for Improving Software Quality] - [[Yoonki Song]]&lt;br /&gt;
* [http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=2550&amp;amp;context=etd Next Generation of Recommender Systems: Algorithms and Applications] - [[Lei Li]]&lt;br /&gt;
* [https://tel.archives-ouvertes.fr/tel-01135312/document Privacy-enabled scalable recommender systems] -[[Andrés Moreno]]&lt;br /&gt;
* [http://ethesis.unifr.ch/theses/downloads.php?file=TeranL.pdf SmartParticipation: A Fuzzy-Based Recommender System for Political Community-Building] - [[Luis Fernando Terán Tamayo]]&lt;br /&gt;
* [http://elehack.net/research/thesis/ Towards Recommender Engineering: Tools and Experiments for Identifying Recommender Differences] - [[Michael Ekstrand]]&lt;br /&gt;
* [http://tampub.uta.fi/bitstream/handle/10024/95965/978-951-44-9551-9.pdf User Factors in Recommender Systems: Case Studies in e-Commerce, News Recommending, and e-Learning] - [[Juha Leino]]&lt;br /&gt;
&lt;br /&gt;
=== 2013 ===&lt;br /&gt;
* [http://interactivesystems.info/publications/a-conceptual-model-and-a-software-framework-for-developing-context-aware-hybrid-recommender-systems A conceptual model and a software framework for developing context aware hybrid recommender systems] - [[Tim Hussein]]&lt;br /&gt;
* [http://shodhganga.inflibnet.ac.in/handle/10603/24399 Effective tag recommendation system based on topic ontology] - [[V Subramaniyaswamy]]&lt;br /&gt;
* [http://eprints.ucm.es/24533/ Estrategias de recomendación basadas en conocimiento para la localización personalizada de recursos en repositorios educativos] (Spanish) - [[Almudena Ruiz-Iniesta]]&lt;br /&gt;
* [http://opus4.kobv.de/opus4-tuberlin/frontdoor/index/index/docId/3681 Evaluating the Accuracy and Utility of Recommender Systems] - [[Alan Said]]&lt;br /&gt;
* [http://julian-urbano.info/publications/061-evaluation-audio-music-similarity Evaluation in Audio Music Similarity] - [[Julián Urbano]]&lt;br /&gt;
* [https://biblio.ugent.be/input/download?func=downloadFile&amp;amp;recordOId=4163727&amp;amp;fileOId=4163752 Improved online services by personalized recommendations and optimal quality of experience parameters] - [[Toon De Pessemier]]&lt;br /&gt;
* [http://hdl.handle.net/10059/859 Integrating Content and Semantic Representations for Music Recommendation] - [[Ben Horsburgh]]&lt;br /&gt;
* [http://escholarship.org/uc/item/4xw874p5#page-1 Latent feature models for dyadic prediction] - [[Aditya Krishna Menon]]&lt;br /&gt;
* [http://edok01.tib.uni-hannover.de/edoks/e01dh13/767033973.pdf Living Analytics Methods for the Social Web] - [[Ernesto Diaz-Aviles]]&lt;br /&gt;
* [http://repository.tudelft.nl/assets/uuid:f7d3977e-f191-40d4-8f27-784a32902a55/thesis_yueshi.pdf Ranking and Context-awareness in Recommender Systems] - [[Yue Shi]]&lt;br /&gt;
* [https://repositorio.uam.es/bitstream/handle/10486/14091/66095_campos%20soto%20pedro%20g..pdf Recommender Systems and Time Context: Characterization of a Robust Evaluation Protocol to Increase Reliability of Measured Improvemenets] - [[Pedro Campos]]&lt;br /&gt;
* [http://users.soe.ucsc.edu/~jwang30/index.files/dissertation-Jian.pdf Session Aware Recommender System in E-Commerce] - [[Jian Wang]]&lt;br /&gt;
* [http://doras.dcu.ie/17737/ Social contextuality and conversational recommender systems] - [[Eoin Hurrell]]&lt;br /&gt;
* [http://liris.cnrs.fr/Documents/Liris-6406.pdf Trace-Based Reasoning for User Assistance and Recommendations] - [[Raafat Zarka]]&lt;br /&gt;
* [http://kth.diva-portal.org/smash/record.jsf?pid=diva2:606503 Trust-Based User Profiling] - [[Nima Dokoohaki]]&lt;br /&gt;
* [http://scidok.sulb.uni-saarland.de/volltexte/2013/5528/pdf/Boehmer_2013_MobileApplicationUsage_low.pdf Understanding and supporting mobile application usage] - [[Matthias Böhmer]]&lt;br /&gt;
* [http://d-scholarship.pitt.edu/19733/ User Contrallability in a Hybrid Recommender System] - [[Denis Parra]]&lt;br /&gt;
&lt;br /&gt;
=== 2012 ===&lt;br /&gt;
* [http://library.epfl.ch/en/theses/?nr=5318 Design and User Perception Issues for Personality-Engaged Recommender Systems] - [[Rong Hu]]&lt;br /&gt;
* [http://www.di.uniba.it/~swap/papers/musto_thesis.pdf Enhanced Vector Space Models for Content-based Recommender Systems] - [[Cataldo Musto]]&lt;br /&gt;
* [http://dalspace.library.dal.ca/bitstream/handle/10222/14735/Lipczak,%20Marek,%20PhD,%20CS,%20March%202012.pdf?sequence=5 Hybrid Tag Recommendation in Collaborative Tagging Systems] - [[Marek Lipczak]]&lt;br /&gt;
* [http://gradworks.umi.com/35/05/3505275.html Interaction Methods for Large Scale Graph Visualization Systems --- Using Manipulation to Aid Discovery] - [[Brynjar Gretarsson]]&lt;br /&gt;
* [http://www.evazangerle.at/wp-content/papercite-data/pdf/evaphd.pdf Leveraging Recommender Systems for the Creation and Maintenance of Structure within Collaborative Social Media Platforms] - [[Eva Zangerle]]&lt;br /&gt;
* [https://eldorado.tu-dortmund.de/bitstream/2003/29661/1/Dissertation.pdf Leveraging Tagging Data for Recommender Systems] - [[Fatih Gedikli]]&lt;br /&gt;
* [http://cseweb.ucsd.edu/~bmcfee/papers/bmcfee_dissertation.pdf More like this: machine learning approaches to music similarity] - [[Brian McFee]]&lt;br /&gt;
* [http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-17249 On some Challenges for Online Trust and Reputation Systems] - [[Mozhgan Tavakolifard]]&lt;br /&gt;
* [http://www.l3s.de/~krestel/cmsimple3_2/?Publications:Others:PhD_Thesis_12 On the Use of Language Models and Topic Models in the Web: New Algorithms for Filtering, Classification, Ranking, and Recommendation] - [[Ralf Krestel]]&lt;br /&gt;
* [http://ir.ii.uam.es/~alejandro/thesis/thesis-bellogin.pdf Performance prediction and evaluation in Recommender Systems: an Information Retrieval perspective] - [[Alejandro Bellogin]]&lt;br /&gt;
* [http://eprints.qut.edu.au/59507/1/Noraswaliza_Abdullah_Thesis.pdf Integrating collaborative filtering and matching-based search for product recommendation] - [[Noraswaliza Abdullah]]&lt;br /&gt;
* [http://www.uns.ac.rs/sr/doktorske/aleksandraKlasnjaMilicevic/disertacija.pdf Personalized Recommendation Based on Collaborative Tagging Techniques for an E-learning System] - [[Aleksandra Klašnja‐Milićević]]&lt;br /&gt;
* [http://arxiv.org/pdf/1203.4487v2 Recommender systems in industrial contexts] - [[Frank Meyer]]&lt;br /&gt;
* [http://opus.bsz-bw.de/ubhi/volltexte/2012/167/pdf/item_recommendation.pdf Supervised Machine Learning Methods for Item Recommendation] - [[Zeno Gantner]]&lt;br /&gt;
* [http://gradworks.umi.com/35/23/3523081.html Understanding Consistency of Recommender Systems: Behavioral and Algorithmic Perspectives] - [[Jingjing Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2011 ===&lt;br /&gt;
* [http://users.cecs.anu.edu.au/~sguo/thesis.pdf Bayesian Recommender Systems: Models and Algorithms] - [[Shengbo Guo]]&lt;br /&gt;
* [http://www.inf.unibz.it/~lbaltrunas/doc/linas_phd_thesis.pdf Context-Aware Collaborative Filtering Recommender Systems] - [[Linas Baltrunas]]&lt;br /&gt;
* [http://benfields.net/bfields_thesis.pdf Contextualize Your Listening: The Playlist as Recommendation Engine] - [[Ben Fields]]&lt;br /&gt;
* [http://www.eric.ed.gov/ERICWebPortal/search/detailmini.jsp?_nfpb=true&amp;amp;_&amp;amp;ERICExtSearch_SearchValue_0=ED534217&amp;amp;ERICExtSearch_SearchType_0=no&amp;amp;accno=ED534217 Deployment of Recommender Systems: Operational and Strategic Issues] - [[Abhijeet Ghoshal]]&lt;br /&gt;
* [http://espace.library.uq.edu.au/view/UQ:263213 Effective and Efficient Collaborative Filtering] - [[Yi Ding]]&lt;br /&gt;
* [http://www.cse.cuhk.edu.hk/lyu/_media/students/thesisxin9.pdf Effective Fusion-based Approaches for Recommender Systems] - [[Xin Xin]]&lt;br /&gt;
* [http://www.aka-verlag.com/de/detail?ean=978-3-89838-332-5 Formal Concept Analysis and Tag Recommendations in Collaborative Tagging Systems] - [[Robert Jäschke]]&lt;br /&gt;
* [http://uclab.khu.ac.kr/resources/thesis/PhD_Thesis_Weiwei.pdf Improved Trust-Aware Recommender System using Small-Worldness of Trust Networks] - [[Weiwei Yuan]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/117321 Personalized Recommendation in Social Network Sites] - [[Jilin Chen]]&lt;br /&gt;
* [http://lac-repo-live7.is.ed.ac.uk/bitstream/1842/5770/1/Givon2011.pdf Predicting and using social tags to improve the accuracy and transparency of recommender systems] - [[Sharon Givon]]&lt;br /&gt;
* [http://slavnik.fe.uni-lj.si/markot/uploads/Main/2010_tkalcic_phd.pdf Recognition and usage of emotive parameters in recommender systems] - [[Marko Tkalčič]]&lt;br /&gt;
* [http://gradworks.umi.com/34/79/3479962.html Swarm intellilgence for clustering dynamic data sets for web usage mining and personalization] - [[Esin Saka]]&lt;br /&gt;
* [http://eprints.qut.edu.au/41879/1/Huizhi_Liang_Thesis.pdf User profiling based on folksonomy information in Web 2.0 for personalized recommender systems] - [[Huizhi Liang]]&lt;br /&gt;
* [http://eprints.qut.edu.au/49168/1/Touhid_Bhuiyan_Thesis.pdf Trust-based automated recommendation making] - [[Touhid Bhuiyan]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/1687272 Using Data Mining for Facilitating User Contributions in the Social Semantic Web] - [[Maryam Ramezani]]&lt;br /&gt;
* [http://gradworks.umi.com/34/49/3449549.html Visualization of music relational information sources for analysis, navigation, and discovery] - [[Justin Donaldson]]&lt;br /&gt;
&lt;br /&gt;
=== 2010 ===&lt;br /&gt;
* [http://www.amazon.com/Domain-Independent-Framework-Intelligent-Recommendations-Application/dp/3838113756 A Domain-Independent Framework for Intelligent Recommendations] - [[Jörn David]]&lt;br /&gt;
* [http://www.cp.jku.at/people/seyerlehner/supervised/seyerlehner_phd.pdf Content-Based Music Recommender Systems: Beyond simple Frame-Level Audio Similarity] - [[Klaus Seyerlehner]]&lt;br /&gt;
* [http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-642-16897-0 Context-Aware Ranking with Factorization Models] - [[Steffen Rendle]]&lt;br /&gt;
* [http://www.cs.ucl.ac.uk/staff/n.lathia/thesis.html Evaluating Collaborative Filtering Over Time] - [[Neal Lathia]]&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2010/2695/pdf/wetzker_robert.pdf Graph-Based Recommendation in Broad Folksonomies] - [[Robert Wetzker]]&lt;br /&gt;
* [http://lib.tkk.fi/Diss/2010/isbn9789526031514/isbn9789526031514.pdf Methods and Applications for Ontology-based Recommender Systems] - [[Tuukka Ruotsalo]]&lt;br /&gt;
* [http://theses.gla.ac.uk/2132/01/2010hopfgartner1phd.pdf Personalised video retrieval: application of implicit feedback and semantic user profiles] - [[Frank Hopfgartner]]&lt;br /&gt;
* [http://www.dsc.ufcg.edu.br/~lbmarinho/homepage/pub/thesis_marinho.pdf Recommender Systems for Social Tagging Systems] - [[Leandro Balby Marinho]]&lt;br /&gt;
* [http://www.verlagdrkovac.de/3-8300-5081-X.htm Recommender Systeme für produktbegleitende Dienstleistungen] - [[Margarethe Frohs]]&lt;br /&gt;
* [http://wrap.warwick.ac.uk/3759/1/WRAP_THESIS_Li_2010.pdf Relational clustering models for knowledge discovery and recommender systems] - [[Tao Li]]&lt;br /&gt;
* [https://biblio.ugent.be/publication/986279/file/1886805.pdf Trust networks for recommender systems] - [[Patricia Victor]]&lt;br /&gt;
* [http://gradworks.umi.com/34/70/3470158.html User session and history modeling for collaborative visualization] - [[Fanhai Yang]]&lt;br /&gt;
&lt;br /&gt;
=== 2009 ===&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2009/2245/pdf/lommatzsch_andreas.pdf Eine offene Architektur für die agentenbasierte, adaptive, personalisierte Informationsfilterung] (German) - [[Andreas Lommatzsch]]&lt;br /&gt;
* [http://www.abdn.ac.uk/~csc284/Nava%20Tintarev_PhD_Thesis_%282010%29.pdf Explaining recommendations] - [[Nava Tintarev]]&lt;br /&gt;
* [http://www.omikk.bme.hu/collections/phd/Villamosmernoki_es_Informatikai_Kar/2010/Pilaszy_Istvan/ertekezes.pdf Factorization-Based Large Scale Recommendation Algorithms] - [[István Pilászy]]&lt;br /&gt;
* [http://www.shilad.com/shilads_thesis.pdf Nurturing Tagging Communities] - [[Shilad Sen]]&lt;br /&gt;
* [http://repository.upenn.edu/dissertations/AAI3363295/ Recommender systems and market diversity] - [[Daniel M. Fleder]]&lt;br /&gt;
* [http://itlab.dbit.dk/~toine/?page_id=6 Recommender Systems for Social Bookmarking] - [[Toine Bogers]]&lt;br /&gt;
* [http://svn.egovmon.no/svn/phdgoodwin/thesis/referenceexample/MMR_thesis_afterDefense.pdf Towards Efficient Music Similarity Search, Ranking, and Recommendation] - [[Maria Magdalena Ruxanda]]&lt;br /&gt;
&lt;br /&gt;
=== 2008 ===&lt;br /&gt;
* [http://essay.utwente.nl/59711/1/MA_thesis_J_de_Wit.pdf Evaluating recommender systems : an evaluation framework to predict user satisfaction for recommender systems in an electronic programme guide context] - [[Joost de Wit]]&lt;br /&gt;
* [http://arantxa.ii.uam.es/~cantador/doc/2008/thesis08.zip Exploiting the Conceptual Space in Hybrid Recommender Systems: a Semantic-based Approach] - [[Iván Cantador]]&lt;br /&gt;
* [http://eprints.qut.edu.au/29165/2/Li-Tung_Weng_Thesis.pdf Information Enrichment for Quality Recommender Systems] - [[Li-Tung Weng]]&lt;br /&gt;
* [http://tomheath.com/thesis/html Information-seeking on the Web with Trusted Social Networks – from Theory to Systems] - [[Tom Heath]]&lt;br /&gt;
* [http://www.cs.umass.edu/~marlin/research/phd_thesis/marlin-phd-thesis.pdf Missing Data Problems in Machine Learning] - [[Benjamin Marlin]]&lt;br /&gt;
* [http://mtg.upf.edu/node/1217 Music Recommendation and Discovery in the Long Tail] - [[Òscar Celma]]&lt;br /&gt;
* [http://hal.inria.fr/docs/00/34/83/70/PDF/TeseFinal.pdf Recommender System based on Personality Traits] - [[Maria Augusta Silveira Netto Nunes]]&lt;br /&gt;
* [http://winnie.kuis.kyoto-u.ac.jp/members/yoshii/d-thesis-yoshii.pdf Studies on Hybrid Music Recommendation Using Timbral and Rhythmic Features] - [[Kazuyoshi Yoshii]]&lt;br /&gt;
* [http://www.peterlang.com/index.cfm?event=cmp.ccc.seitenstruktur.detailseiten&amp;amp;seitentyp=produkt&amp;amp;pk=56341&amp;amp;cid=367 Towards Metadata-aware Algorithms for Recommender Systems] - [[Karen H. L. Tso-Sutter]]&lt;br /&gt;
* [http://hci.epfl.ch/members/lichen/EPFL_TH4140.pdf User Decision Improvement and Trust Building in Product Recommender Systems] - [[Li Chen]]&lt;br /&gt;
&lt;br /&gt;
=== 2007 ===&lt;br /&gt;
* [http://www.ulrichpaquet.com/Papers/PhDThesis.pdf Bayesian Inference for Latent Variable Models] - [[Ulrich Paquet]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~arashid/thesis.pdf Mining Influence in Recommender Systems] - [[Al Mamunur Rashid]]&lt;br /&gt;
* [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.91.2714&amp;amp;rep=rep1&amp;amp;type=pdf Building Trustworthy Recommender Systems] - [[Sheng Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2006 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1269509 Designing social interactions with animated avatars and speech output for product recommendation agents in electronic commerce] - [[Lingyun Qiu]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~mcnee/mcnee-thesis-preprint.pdf Meeting User Information Needs in Recommender Systems] - [[Sean McNee]]&lt;br /&gt;
&lt;br /&gt;
=== 2005 ===&lt;br /&gt;
* [http://eprints.ecs.soton.ac.uk/10692/1/wei-phd-thesis.pdf A Market-Based Approach to Recommender Systems] - [[Yan Zheng Wei]]&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1123874 Explanet: a learning tool and hybrid recommender system for student-authored explanations] - [[Jessica Masters]]&lt;br /&gt;
* Hybrid recommendation techniques based on user profiles - [[Pasquale Lops]]&lt;br /&gt;
* [http://www.princeton.edu/~smorris/pdfs/PhD/Ozmen.pdf Information Transmission and Recommender Systems] - [[Deran Özmen]]&lt;br /&gt;
* [https://doc.telin.nl/dsweb/Get/Document-56873 Supporting People In Finding Information: Hybrid Recommender Systems and Goal-Based Structuring] - [[Mark van Setten]]&lt;br /&gt;
* [http://www.freidok.uni-freiburg.de/volltexte/1804/pdf/Thesis.pdf Towards Decentralized Recommender Systems] - [[Cai-Nicolas Ziegler]]&lt;br /&gt;
* [http://dspace.mit.edu/bitstream/handle/1721.1/31137/61184336.pdf?sequence=1 Use of Discrete Choice Models with Recommender Systems] - [[Bassam H. Chaptini]]&lt;br /&gt;
&lt;br /&gt;
=== 2004 ===&lt;br /&gt;
&lt;br /&gt;
=== 2003 ===&lt;br /&gt;
* [http://eia.udg.es/~mmontane/montaner-thesis03.pdf Collaborative recommender agents based on case-based reasoning and trust] - [[Miquel Montaner]]&lt;br /&gt;
* [https://circle.ubc.ca/bitstream/handle/2429/14933/ubc_2003-859525.pdf?sequence=1 The Impact of Internalization and Familiarity on Trust and Adoption of Recommendation Agents] - [[Sherrie Komiak]]&lt;br /&gt;
* [http://knuth.luther.edu/~bmiller/Papers/thesis.pdf Toward a Personal Recommender System] - [[Bradley N. Miller]]&lt;br /&gt;
&lt;br /&gt;
=== 2002 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=935978 Recommendation as classification and recommendation as matching: two information-centered approaches to recommendation] - [[Chumki Basu]]&lt;br /&gt;
&lt;br /&gt;
=== 2001 ===&lt;br /&gt;
* [http://www.patrickbaudisch.com/publications/2001-Baudisch-Dissertation-DynamicInformationFiltering.pdf Dynamic Information Filtering] - [[Patrick Baudisch]]&lt;br /&gt;
* [http://www.cs.uni.edu/~schafer/publications/schafer_thesis.pdf MetaLens: A Framework for Multsource Recommendations] - [[Ben Schafer]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~sarwar/thesis.ps Sparsity, scalability, and distribution in recommender systems] - [[Badrul Munir Sarwar]]&lt;br /&gt;
&lt;br /&gt;
=== 2000 ===&lt;br /&gt;
&lt;br /&gt;
=== 1999 ===&lt;br /&gt;
&lt;br /&gt;
=== 1998 ===&lt;br /&gt;
&lt;br /&gt;
=== 1997 ===&lt;br /&gt;
* Recommender Systems for Problem Solving Environments - [[Naren Ramakrishnan]]&lt;br /&gt;
&lt;br /&gt;
== External links ==&lt;br /&gt;
* [http://pampalk.at/mir-phds/ PhD Theses and Doctoral Dissertations Related to Music Information Retrieval]&lt;br /&gt;
* [http://www.mendeley.com/groups/3058301/recommender-system-dissertations/papers/ Mendeley collection of Recommender System dissertations] (based on this page)&lt;br /&gt;
&lt;br /&gt;
[[Category: List|Dissertation]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2365</id>
		<title>List of recommender system dissertations</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2365"/>
		<updated>2016-02-01T13:46:40Z</updated>

		<summary type="html">&lt;p&gt;Alan: /* 2015 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Recommender systems]] related '''''doctoral''''' dissertations by year. For other types of theses see:&lt;br /&gt;
* [[List of recommender systems master's theses]]&lt;br /&gt;
* [[List of recommender systems bachelor's theses]]&lt;br /&gt;
&lt;br /&gt;
Dissertation within a year are sorted alphabetically by title.&lt;br /&gt;
&lt;br /&gt;
=== 2015 ===&lt;br /&gt;
* [http://yu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002052536 A Weighted User Similarity Model for Cold Start Recommendations] - [[Parivash Pirasteh]]&lt;br /&gt;
* [http://krex.k-state.edu/dspace/bitstream/handle/2097/19779/RohitParimi2015.pdf?sequence=6&amp;amp;isAllowed=y Collaborative Filtering Approaches for Single-domains and Cross-domain Recommender Systems] - [[Rohit Parimi]]&lt;br /&gt;
* [http://ir.ii.uam.es/saul/saulvargas-thesis.pdf Novelty and Diversity Evaluation and Enhancement in Recommender Systems] - [[Saúl Vargas]]&lt;br /&gt;
* [http://docear.org/papers/Towards%20Effective%20Research-Paper%20Recommender%20Systems%20and%20User%20Modeling%20based%20on%20Mind%20Maps.pdf Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Maps] - Joeran Beel&lt;br /&gt;
&lt;br /&gt;
=== 2014 ===&lt;br /&gt;
* [http://scholarlyrepository.miami.edu/cgi/viewcontent.cgi?article=2209&amp;amp;context=oa_dissertations A Model-Based Music Recommendation System for Individual Users and Implicit User Groups] - [[Yajie Hu]] &lt;br /&gt;
* [https://boa.unimib.it/retrieve/handle/10281/70560/104693/PhD_unimib_%20%09732150%20.pdf Advancing Recommender Systems from the Algorithm, Interface and Methodological Perspective] - [[Marco Rossetti]]&lt;br /&gt;
* [http://infoscience.epfl.ch/record/199806 Aggregating Information from the Crowd: ratings, recommendations and predictions] - [[Florent Garcin]]&lt;br /&gt;
* [http://wanlab.poly.edu/xiwang/doc/thesis.pdf Collaborative Filtering Based Social Recommender Systems] - [[Xiwang Yang]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/3158723 Cross-domain Recommendations based on semantically-enhanced User Web Behavior] - [[Julia Hoxha]] &lt;br /&gt;
* [http://www.win.tue.nl/ipa/?event=cryptographically-enhanced-privacy-for-recommender-systems Cryptographically-Enhanced Privacy for Recommender Systems] - [[Arjan Jeckmans]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/11299/167084 Database management system support for collaborative filtering recommender systems] - [[Mohamed Sarwat]]&lt;br /&gt;
* [http://bit.ly/simonphd Dynamic Generation of Personalized Hybrid Recommender Systems] - [[Simon Dooms]]&lt;br /&gt;
* Enhancing Discovery in Geoportals: Geo-Enrichment, Semantic Enhancement and Recommendation Strategies for Geo-Information Discovery - [[Bernhard Vockner]]&lt;br /&gt;
* [http://www.lsi.upc.edu/~vcodina/phd.pdf Exploiting Distributional Semantics for Content-Based and Context-Aware Recommendation] - [[Victor Codina]]&lt;br /&gt;
* [http://micheletrevisiol.com/data/Exploiting_Implicit_User_Activity_for_Media_Recommendation.pdf Exploiting Implicit User Activity for Media Recommendation] - [[Michele Trevisiol]]&lt;br /&gt;
* [http://arks.princeton.edu/ark:/88435/dsp01nv935299q Information Aggregation in Quantized Consensus, Recommender Systems, and Ranking] - [[Shang Shang]]&lt;br /&gt;
* [http://repository.lib.ncsu.edu/ir/bitstream/1840.16/9727/1/etd.pdf More Usable Recommendation Systems for Improving Software Quality] - [[Yoonki Song]]&lt;br /&gt;
* [http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=2550&amp;amp;context=etd Next Generation of Recommender Systems: Algorithms and Applications] - [[Lei Li]]&lt;br /&gt;
* [https://tel.archives-ouvertes.fr/tel-01135312/document Privacy-enabled scalable recommender systems] -[[Andrés Moreno]]&lt;br /&gt;
* [http://ethesis.unifr.ch/theses/downloads.php?file=TeranL.pdf SmartParticipation: A Fuzzy-Based Recommender System for Political Community-Building] - [[Luis Fernando Terán Tamayo]]&lt;br /&gt;
* [http://elehack.net/research/thesis/ Towards Recommender Engineering: Tools and Experiments for Identifying Recommender Differences] - [[Michael Ekstrand]]&lt;br /&gt;
* [http://tampub.uta.fi/bitstream/handle/10024/95965/978-951-44-9551-9.pdf User Factors in Recommender Systems: Case Studies in e-Commerce, News Recommending, and e-Learning] - [[Juha Leino]]&lt;br /&gt;
&lt;br /&gt;
=== 2013 ===&lt;br /&gt;
* [http://interactivesystems.info/publications/a-conceptual-model-and-a-software-framework-for-developing-context-aware-hybrid-recommender-systems A conceptual model and a software framework for developing context aware hybrid recommender systems] - [[Tim Hussein]]&lt;br /&gt;
* [http://shodhganga.inflibnet.ac.in/handle/10603/24399 Effective tag recommendation system based on topic ontology] - [[V Subramaniyaswamy]]&lt;br /&gt;
* [http://eprints.ucm.es/24533/ Estrategias de recomendación basadas en conocimiento para la localización personalizada de recursos en repositorios educativos] (Spanish) - [[Almudena Ruiz-Iniesta]]&lt;br /&gt;
* [http://opus4.kobv.de/opus4-tuberlin/frontdoor/index/index/docId/3681 Evaluating the Accuracy and Utility of Recommender Systems] - [[Alan Said]]&lt;br /&gt;
* [http://julian-urbano.info/publications/061-evaluation-audio-music-similarity Evaluation in Audio Music Similarity] - [[Julián Urbano]]&lt;br /&gt;
* [https://biblio.ugent.be/input/download?func=downloadFile&amp;amp;recordOId=4163727&amp;amp;fileOId=4163752 Improved online services by personalized recommendations and optimal quality of experience parameters] - [[Toon De Pessemier]]&lt;br /&gt;
* [http://hdl.handle.net/10059/859 Integrating Content and Semantic Representations for Music Recommendation] - [[Ben Horsburgh]]&lt;br /&gt;
* [http://escholarship.org/uc/item/4xw874p5#page-1 Latent feature models for dyadic prediction] - [[Aditya Krishna Menon]]&lt;br /&gt;
* [http://edok01.tib.uni-hannover.de/edoks/e01dh13/767033973.pdf Living Analytics Methods for the Social Web] - [[Ernesto Diaz-Aviles]]&lt;br /&gt;
* [http://repository.tudelft.nl/assets/uuid:f7d3977e-f191-40d4-8f27-784a32902a55/thesis_yueshi.pdf Ranking and Context-awareness in Recommender Systems] - [[Yue Shi]]&lt;br /&gt;
* [https://repositorio.uam.es/bitstream/handle/10486/14091/66095_campos%20soto%20pedro%20g..pdf Recommender Systems and Time Context: Characterization of a Robust Evaluation Protocol to Increase Reliability of Measured Improvemenets] - [[Pedro Campos]]&lt;br /&gt;
* [http://users.soe.ucsc.edu/~jwang30/index.files/dissertation-Jian.pdf Session Aware Recommender System in E-Commerce] - [[Jian Wang]]&lt;br /&gt;
* [http://doras.dcu.ie/17737/ Social contextuality and conversational recommender systems] - [[Eoin Hurrell]]&lt;br /&gt;
* [http://liris.cnrs.fr/Documents/Liris-6406.pdf Trace-Based Reasoning for User Assistance and Recommendations] - [[Raafat Zarka]]&lt;br /&gt;
* [http://kth.diva-portal.org/smash/record.jsf?pid=diva2:606503 Trust-Based User Profiling] - [[Nima Dokoohaki]]&lt;br /&gt;
* [http://scidok.sulb.uni-saarland.de/volltexte/2013/5528/pdf/Boehmer_2013_MobileApplicationUsage_low.pdf Understanding and supporting mobile application usage] - [[Matthias Böhmer]]&lt;br /&gt;
* [http://d-scholarship.pitt.edu/19733/ User Contrallability in a Hybrid Recommender System] - [[Denis Parra]]&lt;br /&gt;
&lt;br /&gt;
=== 2012 ===&lt;br /&gt;
* [http://library.epfl.ch/en/theses/?nr=5318 Design and User Perception Issues for Personality-Engaged Recommender Systems] - [[Rong Hu]]&lt;br /&gt;
* [http://www.di.uniba.it/~swap/papers/musto_thesis.pdf Enhanced Vector Space Models for Content-based Recommender Systems] - [[Cataldo Musto]]&lt;br /&gt;
* [http://dalspace.library.dal.ca/bitstream/handle/10222/14735/Lipczak,%20Marek,%20PhD,%20CS,%20March%202012.pdf?sequence=5 Hybrid Tag Recommendation in Collaborative Tagging Systems] - [[Marek Lipczak]]&lt;br /&gt;
* [http://gradworks.umi.com/35/05/3505275.html Interaction Methods for Large Scale Graph Visualization Systems --- Using Manipulation to Aid Discovery] - [[Brynjar Gretarsson]]&lt;br /&gt;
* [http://www.evazangerle.at/wp-content/papercite-data/pdf/evaphd.pdf Leveraging Recommender Systems for the Creation and Maintenance of Structure within Collaborative Social Media Platforms] - [[Eva Zangerle]]&lt;br /&gt;
* [https://eldorado.tu-dortmund.de/bitstream/2003/29661/1/Dissertation.pdf Leveraging Tagging Data for Recommender Systems] - [[Fatih Gedikli]]&lt;br /&gt;
* [http://cseweb.ucsd.edu/~bmcfee/papers/bmcfee_dissertation.pdf More like this: machine learning approaches to music similarity] - [[Brian McFee]]&lt;br /&gt;
* [http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-17249 On some Challenges for Online Trust and Reputation Systems] - [[Mozhgan Tavakolifard]]&lt;br /&gt;
* [http://www.l3s.de/~krestel/cmsimple3_2/?Publications:Others:PhD_Thesis_12 On the Use of Language Models and Topic Models in the Web: New Algorithms for Filtering, Classification, Ranking, and Recommendation] - [[Ralf Krestel]]&lt;br /&gt;
* [http://ir.ii.uam.es/~alejandro/thesis/thesis-bellogin.pdf Performance prediction and evaluation in Recommender Systems: an Information Retrieval perspective] - [[Alejandro Bellogin]]&lt;br /&gt;
* [http://eprints.qut.edu.au/59507/1/Noraswaliza_Abdullah_Thesis.pdf Integrating collaborative filtering and matching-based search for product recommendation] - [[Noraswaliza Abdullah]]&lt;br /&gt;
* [http://www.uns.ac.rs/sr/doktorske/aleksandraKlasnjaMilicevic/disertacija.pdf Personalized Recommendation Based on Collaborative Tagging Techniques for an E-learning System] - [[Aleksandra Klašnja‐Milićević]]&lt;br /&gt;
* [http://arxiv.org/pdf/1203.4487v2 Recommender systems in industrial contexts] - [[Frank Meyer]]&lt;br /&gt;
* [http://opus.bsz-bw.de/ubhi/volltexte/2012/167/pdf/item_recommendation.pdf Supervised Machine Learning Methods for Item Recommendation] - [[Zeno Gantner]]&lt;br /&gt;
* [http://gradworks.umi.com/35/23/3523081.html Understanding Consistency of Recommender Systems: Behavioral and Algorithmic Perspectives] - [[Jingjing Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2011 ===&lt;br /&gt;
* [http://users.cecs.anu.edu.au/~sguo/thesis.pdf Bayesian Recommender Systems: Models and Algorithms] - [[Shengbo Guo]]&lt;br /&gt;
* [http://www.inf.unibz.it/~lbaltrunas/doc/linas_phd_thesis.pdf Context-Aware Collaborative Filtering Recommender Systems] - [[Linas Baltrunas]]&lt;br /&gt;
* [http://benfields.net/bfields_thesis.pdf Contextualize Your Listening: The Playlist as Recommendation Engine] - [[Ben Fields]]&lt;br /&gt;
* [http://www.eric.ed.gov/ERICWebPortal/search/detailmini.jsp?_nfpb=true&amp;amp;_&amp;amp;ERICExtSearch_SearchValue_0=ED534217&amp;amp;ERICExtSearch_SearchType_0=no&amp;amp;accno=ED534217 Deployment of Recommender Systems: Operational and Strategic Issues] - [[Abhijeet Ghoshal]]&lt;br /&gt;
* [http://espace.library.uq.edu.au/view/UQ:263213 Effective and Efficient Collaborative Filtering] - [[Yi Ding]]&lt;br /&gt;
* [http://www.cse.cuhk.edu.hk/lyu/_media/students/thesisxin9.pdf Effective Fusion-based Approaches for Recommender Systems] - [[Xin Xin]]&lt;br /&gt;
* [http://www.aka-verlag.com/de/detail?ean=978-3-89838-332-5 Formal Concept Analysis and Tag Recommendations in Collaborative Tagging Systems] - [[Robert Jäschke]]&lt;br /&gt;
* [http://uclab.khu.ac.kr/resources/thesis/PhD_Thesis_Weiwei.pdf Improved Trust-Aware Recommender System using Small-Worldness of Trust Networks] - [[Weiwei Yuan]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/117321 Personalized Recommendation in Social Network Sites] - [[Jilin Chen]]&lt;br /&gt;
* [http://lac-repo-live7.is.ed.ac.uk/bitstream/1842/5770/1/Givon2011.pdf Predicting and using social tags to improve the accuracy and transparency of recommender systems] - [[Sharon Givon]]&lt;br /&gt;
* [http://slavnik.fe.uni-lj.si/markot/uploads/Main/2010_tkalcic_phd.pdf Recognition and usage of emotive parameters in recommender systems] - [[Marko Tkalčič]]&lt;br /&gt;
* [http://gradworks.umi.com/34/79/3479962.html Swarm intellilgence for clustering dynamic data sets for web usage mining and personalization] - [[Esin Saka]]&lt;br /&gt;
* [http://eprints.qut.edu.au/41879/1/Huizhi_Liang_Thesis.pdf User profiling based on folksonomy information in Web 2.0 for personalized recommender systems] - [[Huizhi Liang]]&lt;br /&gt;
* [http://eprints.qut.edu.au/49168/1/Touhid_Bhuiyan_Thesis.pdf Trust-based automated recommendation making] - [[Touhid Bhuiyan]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/1687272 Using Data Mining for Facilitating User Contributions in the Social Semantic Web] - [[Maryam Ramezani]]&lt;br /&gt;
* [http://gradworks.umi.com/34/49/3449549.html Visualization of music relational information sources for analysis, navigation, and discovery] - [[Justin Donaldson]]&lt;br /&gt;
&lt;br /&gt;
=== 2010 ===&lt;br /&gt;
* [http://www.amazon.com/Domain-Independent-Framework-Intelligent-Recommendations-Application/dp/3838113756 A Domain-Independent Framework for Intelligent Recommendations] - [[Jörn David]]&lt;br /&gt;
* [http://www.cp.jku.at/people/seyerlehner/supervised/seyerlehner_phd.pdf Content-Based Music Recommender Systems: Beyond simple Frame-Level Audio Similarity] - [[Klaus Seyerlehner]]&lt;br /&gt;
* [http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-642-16897-0 Context-Aware Ranking with Factorization Models] - [[Steffen Rendle]]&lt;br /&gt;
* [http://www.cs.ucl.ac.uk/staff/n.lathia/thesis.html Evaluating Collaborative Filtering Over Time] - [[Neal Lathia]]&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2010/2695/pdf/wetzker_robert.pdf Graph-Based Recommendation in Broad Folksonomies] - [[Robert Wetzker]]&lt;br /&gt;
* [http://lib.tkk.fi/Diss/2010/isbn9789526031514/isbn9789526031514.pdf Methods and Applications for Ontology-based Recommender Systems] - [[Tuukka Ruotsalo]]&lt;br /&gt;
* [http://theses.gla.ac.uk/2132/01/2010hopfgartner1phd.pdf Personalised video retrieval: application of implicit feedback and semantic user profiles] - [[Frank Hopfgartner]]&lt;br /&gt;
* [http://www.dsc.ufcg.edu.br/~lbmarinho/homepage/pub/thesis_marinho.pdf Recommender Systems for Social Tagging Systems] - [[Leandro Balby Marinho]]&lt;br /&gt;
* [http://www.verlagdrkovac.de/3-8300-5081-X.htm Recommender Systeme für produktbegleitende Dienstleistungen] - [[Margarethe Frohs]]&lt;br /&gt;
* [http://wrap.warwick.ac.uk/3759/1/WRAP_THESIS_Li_2010.pdf Relational clustering models for knowledge discovery and recommender systems] - [[Tao Li]]&lt;br /&gt;
* [https://biblio.ugent.be/publication/986279/file/1886805.pdf Trust networks for recommender systems] - [[Patricia Victor]]&lt;br /&gt;
* [http://gradworks.umi.com/34/70/3470158.html User session and history modeling for collaborative visualization] - [[Fanhai Yang]]&lt;br /&gt;
&lt;br /&gt;
=== 2009 ===&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2009/2245/pdf/lommatzsch_andreas.pdf Eine offene Architektur für die agentenbasierte, adaptive, personalisierte Informationsfilterung] (German) - [[Andreas Lommatzsch]]&lt;br /&gt;
* [http://www.abdn.ac.uk/~csc284/Nava%20Tintarev_PhD_Thesis_%282010%29.pdf Explaining recommendations] - [[Nava Tintarev]]&lt;br /&gt;
* [http://www.omikk.bme.hu/collections/phd/Villamosmernoki_es_Informatikai_Kar/2010/Pilaszy_Istvan/ertekezes.pdf Factorization-Based Large Scale Recommendation Algorithms] - [[István Pilászy]]&lt;br /&gt;
* [http://www.shilad.com/shilads_thesis.pdf Nurturing Tagging Communities] - [[Shilad Sen]]&lt;br /&gt;
* [http://repository.upenn.edu/dissertations/AAI3363295/ Recommender systems and market diversity] - [[Daniel M. Fleder]]&lt;br /&gt;
* [http://itlab.dbit.dk/~toine/?page_id=6 Recommender Systems for Social Bookmarking] - [[Toine Bogers]]&lt;br /&gt;
* [http://svn.egovmon.no/svn/phdgoodwin/thesis/referenceexample/MMR_thesis_afterDefense.pdf Towards Efficient Music Similarity Search, Ranking, and Recommendation] - [[Maria Magdalena Ruxanda]]&lt;br /&gt;
&lt;br /&gt;
=== 2008 ===&lt;br /&gt;
* [http://essay.utwente.nl/59711/1/MA_thesis_J_de_Wit.pdf Evaluating recommender systems : an evaluation framework to predict user satisfaction for recommender systems in an electronic programme guide context] - [[Joost de Wit]]&lt;br /&gt;
* [http://arantxa.ii.uam.es/~cantador/doc/2008/thesis08.zip Exploiting the Conceptual Space in Hybrid Recommender Systems: a Semantic-based Approach] - [[Iván Cantador]]&lt;br /&gt;
* [http://eprints.qut.edu.au/29165/2/Li-Tung_Weng_Thesis.pdf Information Enrichment for Quality Recommender Systems] - [[Li-Tung Weng]]&lt;br /&gt;
* [http://tomheath.com/thesis/html Information-seeking on the Web with Trusted Social Networks – from Theory to Systems] - [[Tom Heath]]&lt;br /&gt;
* [http://www.cs.umass.edu/~marlin/research/phd_thesis/marlin-phd-thesis.pdf Missing Data Problems in Machine Learning] - [[Benjamin Marlin]]&lt;br /&gt;
* [http://mtg.upf.edu/node/1217 Music Recommendation and Discovery in the Long Tail] - [[Òscar Celma]]&lt;br /&gt;
* [http://hal.inria.fr/docs/00/34/83/70/PDF/TeseFinal.pdf Recommender System based on Personality Traits] - [[Maria Augusta Silveira Netto Nunes]]&lt;br /&gt;
* [http://winnie.kuis.kyoto-u.ac.jp/members/yoshii/d-thesis-yoshii.pdf Studies on Hybrid Music Recommendation Using Timbral and Rhythmic Features] - [[Kazuyoshi Yoshii]]&lt;br /&gt;
* [http://www.peterlang.com/index.cfm?event=cmp.ccc.seitenstruktur.detailseiten&amp;amp;seitentyp=produkt&amp;amp;pk=56341&amp;amp;cid=367 Towards Metadata-aware Algorithms for Recommender Systems] - [[Karen H. L. Tso-Sutter]]&lt;br /&gt;
* [http://hci.epfl.ch/members/lichen/EPFL_TH4140.pdf User Decision Improvement and Trust Building in Product Recommender Systems] - [[Li Chen]]&lt;br /&gt;
&lt;br /&gt;
=== 2007 ===&lt;br /&gt;
* [http://www.ulrichpaquet.com/Papers/PhDThesis.pdf Bayesian Inference for Latent Variable Models] - [[Ulrich Paquet]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~arashid/thesis.pdf Mining Influence in Recommender Systems] - [[Al Mamunur Rashid]]&lt;br /&gt;
* [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.91.2714&amp;amp;rep=rep1&amp;amp;type=pdf Building Trustworthy Recommender Systems] - [[Sheng Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2006 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1269509 Designing social interactions with animated avatars and speech output for product recommendation agents in electronic commerce] - [[Lingyun Qiu]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~mcnee/mcnee-thesis-preprint.pdf Meeting User Information Needs in Recommender Systems] - [[Sean McNee]]&lt;br /&gt;
&lt;br /&gt;
=== 2005 ===&lt;br /&gt;
* [http://eprints.ecs.soton.ac.uk/10692/1/wei-phd-thesis.pdf A Market-Based Approach to Recommender Systems] - [[Yan Zheng Wei]]&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1123874 Explanet: a learning tool and hybrid recommender system for student-authored explanations] - [[Jessica Masters]]&lt;br /&gt;
* Hybrid recommendation techniques based on user profiles - [[Pasquale Lops]]&lt;br /&gt;
* [http://www.princeton.edu/~smorris/pdfs/PhD/Ozmen.pdf Information Transmission and Recommender Systems] - [[Deran Özmen]]&lt;br /&gt;
* [https://doc.telin.nl/dsweb/Get/Document-56873 Supporting People In Finding Information: Hybrid Recommender Systems and Goal-Based Structuring] - [[Mark van Setten]]&lt;br /&gt;
* [http://www.freidok.uni-freiburg.de/volltexte/1804/pdf/Thesis.pdf Towards Decentralized Recommender Systems] - [[Cai-Nicolas Ziegler]]&lt;br /&gt;
* [http://dspace.mit.edu/bitstream/handle/1721.1/31137/61184336.pdf?sequence=1 Use of Discrete Choice Models with Recommender Systems] - [[Bassam H. Chaptini]]&lt;br /&gt;
&lt;br /&gt;
=== 2004 ===&lt;br /&gt;
&lt;br /&gt;
=== 2003 ===&lt;br /&gt;
* [http://eia.udg.es/~mmontane/montaner-thesis03.pdf Collaborative recommender agents based on case-based reasoning and trust] - [[Miquel Montaner]]&lt;br /&gt;
* [https://circle.ubc.ca/bitstream/handle/2429/14933/ubc_2003-859525.pdf?sequence=1 The Impact of Internalization and Familiarity on Trust and Adoption of Recommendation Agents] - [[Sherrie Komiak]]&lt;br /&gt;
* [http://knuth.luther.edu/~bmiller/Papers/thesis.pdf Toward a Personal Recommender System] - [[Bradley N. Miller]]&lt;br /&gt;
&lt;br /&gt;
=== 2002 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=935978 Recommendation as classification and recommendation as matching: two information-centered approaches to recommendation] - [[Chumki Basu]]&lt;br /&gt;
&lt;br /&gt;
=== 2001 ===&lt;br /&gt;
* [http://www.patrickbaudisch.com/publications/2001-Baudisch-Dissertation-DynamicInformationFiltering.pdf Dynamic Information Filtering] - [[Patrick Baudisch]]&lt;br /&gt;
* [http://www.cs.uni.edu/~schafer/publications/schafer_thesis.pdf MetaLens: A Framework for Multsource Recommendations] - [[Ben Schafer]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~sarwar/thesis.ps Sparsity, scalability, and distribution in recommender systems] - [[Badrul Munir Sarwar]]&lt;br /&gt;
&lt;br /&gt;
=== 2000 ===&lt;br /&gt;
&lt;br /&gt;
=== 1999 ===&lt;br /&gt;
&lt;br /&gt;
=== 1998 ===&lt;br /&gt;
&lt;br /&gt;
=== 1997 ===&lt;br /&gt;
* Recommender Systems for Problem Solving Environments - [[Naren Ramakrishnan]]&lt;br /&gt;
&lt;br /&gt;
== External links ==&lt;br /&gt;
* [http://pampalk.at/mir-phds/ PhD Theses and Doctoral Dissertations Related to Music Information Retrieval]&lt;br /&gt;
* [http://www.mendeley.com/groups/3058301/recommender-system-dissertations/papers/ Mendeley collection of Recommender System dissertations] (based on this page)&lt;br /&gt;
&lt;br /&gt;
[[Category: List|Dissertation]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2364</id>
		<title>List of recommender system dissertations</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2364"/>
		<updated>2016-02-01T13:46:06Z</updated>

		<summary type="html">&lt;p&gt;Alan: /* 2015 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Recommender systems]] related '''''doctoral''''' dissertations by year. For other types of theses see:&lt;br /&gt;
* [[List of recommender systems master's theses]]&lt;br /&gt;
* [[List of recommender systems bachelor's theses]]&lt;br /&gt;
&lt;br /&gt;
Dissertation within a year are sorted alphabetically by title.&lt;br /&gt;
&lt;br /&gt;
=== 2015 ===&lt;br /&gt;
* [http://yu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002052536 A Weighted User Similarity Model for Cold Start Recommendations] - [[Parivash Pirasteh]]&lt;br /&gt;
&lt;br /&gt;
* [http://krex.k-state.edu/dspace/bitstream/handle/2097/19779/RohitParimi2015.pdf?sequence=6&amp;amp;isAllowed=y Collaborative Filtering Approaches for Single-domains and Cross-domain Recommender Systems] - [[Rohit Parimi]]&lt;br /&gt;
&lt;br /&gt;
* [http://ir.ii.uam.es/saul/saulvargas-thesis.pdf Novelty and Diversity Evaluation and Enhancement in Recommender Systems] - [[Saúl Vargas]]&lt;br /&gt;
&lt;br /&gt;
* [http://docear.org/papers/Towards%20Effective%20Research-Paper%20Recommender%20Systems%20and%20User%20Modeling%20based%20on%20Mind%20Maps.pdf Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Maps] - Joeran Beel&lt;br /&gt;
&lt;br /&gt;
=== 2014 ===&lt;br /&gt;
* [http://scholarlyrepository.miami.edu/cgi/viewcontent.cgi?article=2209&amp;amp;context=oa_dissertations A Model-Based Music Recommendation System for Individual Users and Implicit User Groups] - [[Yajie Hu]] &lt;br /&gt;
* [https://boa.unimib.it/retrieve/handle/10281/70560/104693/PhD_unimib_%20%09732150%20.pdf Advancing Recommender Systems from the Algorithm, Interface and Methodological Perspective] - [[Marco Rossetti]]&lt;br /&gt;
* [http://infoscience.epfl.ch/record/199806 Aggregating Information from the Crowd: ratings, recommendations and predictions] - [[Florent Garcin]]&lt;br /&gt;
* [http://wanlab.poly.edu/xiwang/doc/thesis.pdf Collaborative Filtering Based Social Recommender Systems] - [[Xiwang Yang]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/3158723 Cross-domain Recommendations based on semantically-enhanced User Web Behavior] - [[Julia Hoxha]] &lt;br /&gt;
* [http://www.win.tue.nl/ipa/?event=cryptographically-enhanced-privacy-for-recommender-systems Cryptographically-Enhanced Privacy for Recommender Systems] - [[Arjan Jeckmans]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/11299/167084 Database management system support for collaborative filtering recommender systems] - [[Mohamed Sarwat]]&lt;br /&gt;
* [http://bit.ly/simonphd Dynamic Generation of Personalized Hybrid Recommender Systems] - [[Simon Dooms]]&lt;br /&gt;
* Enhancing Discovery in Geoportals: Geo-Enrichment, Semantic Enhancement and Recommendation Strategies for Geo-Information Discovery - [[Bernhard Vockner]]&lt;br /&gt;
* [http://www.lsi.upc.edu/~vcodina/phd.pdf Exploiting Distributional Semantics for Content-Based and Context-Aware Recommendation] - [[Victor Codina]]&lt;br /&gt;
* [http://micheletrevisiol.com/data/Exploiting_Implicit_User_Activity_for_Media_Recommendation.pdf Exploiting Implicit User Activity for Media Recommendation] - [[Michele Trevisiol]]&lt;br /&gt;
* [http://arks.princeton.edu/ark:/88435/dsp01nv935299q Information Aggregation in Quantized Consensus, Recommender Systems, and Ranking] - [[Shang Shang]]&lt;br /&gt;
* [http://repository.lib.ncsu.edu/ir/bitstream/1840.16/9727/1/etd.pdf More Usable Recommendation Systems for Improving Software Quality] - [[Yoonki Song]]&lt;br /&gt;
* [http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=2550&amp;amp;context=etd Next Generation of Recommender Systems: Algorithms and Applications] - [[Lei Li]]&lt;br /&gt;
* [https://tel.archives-ouvertes.fr/tel-01135312/document Privacy-enabled scalable recommender systems] -[[Andrés Moreno]]&lt;br /&gt;
* [http://ethesis.unifr.ch/theses/downloads.php?file=TeranL.pdf SmartParticipation: A Fuzzy-Based Recommender System for Political Community-Building] - [[Luis Fernando Terán Tamayo]]&lt;br /&gt;
* [http://elehack.net/research/thesis/ Towards Recommender Engineering: Tools and Experiments for Identifying Recommender Differences] - [[Michael Ekstrand]]&lt;br /&gt;
* [http://tampub.uta.fi/bitstream/handle/10024/95965/978-951-44-9551-9.pdf User Factors in Recommender Systems: Case Studies in e-Commerce, News Recommending, and e-Learning] - [[Juha Leino]]&lt;br /&gt;
&lt;br /&gt;
=== 2013 ===&lt;br /&gt;
* [http://interactivesystems.info/publications/a-conceptual-model-and-a-software-framework-for-developing-context-aware-hybrid-recommender-systems A conceptual model and a software framework for developing context aware hybrid recommender systems] - [[Tim Hussein]]&lt;br /&gt;
* [http://shodhganga.inflibnet.ac.in/handle/10603/24399 Effective tag recommendation system based on topic ontology] - [[V Subramaniyaswamy]]&lt;br /&gt;
* [http://eprints.ucm.es/24533/ Estrategias de recomendación basadas en conocimiento para la localización personalizada de recursos en repositorios educativos] (Spanish) - [[Almudena Ruiz-Iniesta]]&lt;br /&gt;
* [http://opus4.kobv.de/opus4-tuberlin/frontdoor/index/index/docId/3681 Evaluating the Accuracy and Utility of Recommender Systems] - [[Alan Said]]&lt;br /&gt;
* [http://julian-urbano.info/publications/061-evaluation-audio-music-similarity Evaluation in Audio Music Similarity] - [[Julián Urbano]]&lt;br /&gt;
* [https://biblio.ugent.be/input/download?func=downloadFile&amp;amp;recordOId=4163727&amp;amp;fileOId=4163752 Improved online services by personalized recommendations and optimal quality of experience parameters] - [[Toon De Pessemier]]&lt;br /&gt;
* [http://hdl.handle.net/10059/859 Integrating Content and Semantic Representations for Music Recommendation] - [[Ben Horsburgh]]&lt;br /&gt;
* [http://escholarship.org/uc/item/4xw874p5#page-1 Latent feature models for dyadic prediction] - [[Aditya Krishna Menon]]&lt;br /&gt;
* [http://edok01.tib.uni-hannover.de/edoks/e01dh13/767033973.pdf Living Analytics Methods for the Social Web] - [[Ernesto Diaz-Aviles]]&lt;br /&gt;
* [http://repository.tudelft.nl/assets/uuid:f7d3977e-f191-40d4-8f27-784a32902a55/thesis_yueshi.pdf Ranking and Context-awareness in Recommender Systems] - [[Yue Shi]]&lt;br /&gt;
* [https://repositorio.uam.es/bitstream/handle/10486/14091/66095_campos%20soto%20pedro%20g..pdf Recommender Systems and Time Context: Characterization of a Robust Evaluation Protocol to Increase Reliability of Measured Improvemenets] - [[Pedro Campos]]&lt;br /&gt;
* [http://users.soe.ucsc.edu/~jwang30/index.files/dissertation-Jian.pdf Session Aware Recommender System in E-Commerce] - [[Jian Wang]]&lt;br /&gt;
* [http://doras.dcu.ie/17737/ Social contextuality and conversational recommender systems] - [[Eoin Hurrell]]&lt;br /&gt;
* [http://liris.cnrs.fr/Documents/Liris-6406.pdf Trace-Based Reasoning for User Assistance and Recommendations] - [[Raafat Zarka]]&lt;br /&gt;
* [http://kth.diva-portal.org/smash/record.jsf?pid=diva2:606503 Trust-Based User Profiling] - [[Nima Dokoohaki]]&lt;br /&gt;
* [http://scidok.sulb.uni-saarland.de/volltexte/2013/5528/pdf/Boehmer_2013_MobileApplicationUsage_low.pdf Understanding and supporting mobile application usage] - [[Matthias Böhmer]]&lt;br /&gt;
* [http://d-scholarship.pitt.edu/19733/ User Contrallability in a Hybrid Recommender System] - [[Denis Parra]]&lt;br /&gt;
&lt;br /&gt;
=== 2012 ===&lt;br /&gt;
* [http://library.epfl.ch/en/theses/?nr=5318 Design and User Perception Issues for Personality-Engaged Recommender Systems] - [[Rong Hu]]&lt;br /&gt;
* [http://www.di.uniba.it/~swap/papers/musto_thesis.pdf Enhanced Vector Space Models for Content-based Recommender Systems] - [[Cataldo Musto]]&lt;br /&gt;
* [http://dalspace.library.dal.ca/bitstream/handle/10222/14735/Lipczak,%20Marek,%20PhD,%20CS,%20March%202012.pdf?sequence=5 Hybrid Tag Recommendation in Collaborative Tagging Systems] - [[Marek Lipczak]]&lt;br /&gt;
* [http://gradworks.umi.com/35/05/3505275.html Interaction Methods for Large Scale Graph Visualization Systems --- Using Manipulation to Aid Discovery] - [[Brynjar Gretarsson]]&lt;br /&gt;
* [http://www.evazangerle.at/wp-content/papercite-data/pdf/evaphd.pdf Leveraging Recommender Systems for the Creation and Maintenance of Structure within Collaborative Social Media Platforms] - [[Eva Zangerle]]&lt;br /&gt;
* [https://eldorado.tu-dortmund.de/bitstream/2003/29661/1/Dissertation.pdf Leveraging Tagging Data for Recommender Systems] - [[Fatih Gedikli]]&lt;br /&gt;
* [http://cseweb.ucsd.edu/~bmcfee/papers/bmcfee_dissertation.pdf More like this: machine learning approaches to music similarity] - [[Brian McFee]]&lt;br /&gt;
* [http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-17249 On some Challenges for Online Trust and Reputation Systems] - [[Mozhgan Tavakolifard]]&lt;br /&gt;
* [http://www.l3s.de/~krestel/cmsimple3_2/?Publications:Others:PhD_Thesis_12 On the Use of Language Models and Topic Models in the Web: New Algorithms for Filtering, Classification, Ranking, and Recommendation] - [[Ralf Krestel]]&lt;br /&gt;
* [http://ir.ii.uam.es/~alejandro/thesis/thesis-bellogin.pdf Performance prediction and evaluation in Recommender Systems: an Information Retrieval perspective] - [[Alejandro Bellogin]]&lt;br /&gt;
* [http://eprints.qut.edu.au/59507/1/Noraswaliza_Abdullah_Thesis.pdf Integrating collaborative filtering and matching-based search for product recommendation] - [[Noraswaliza Abdullah]]&lt;br /&gt;
* [http://www.uns.ac.rs/sr/doktorske/aleksandraKlasnjaMilicevic/disertacija.pdf Personalized Recommendation Based on Collaborative Tagging Techniques for an E-learning System] - [[Aleksandra Klašnja‐Milićević]]&lt;br /&gt;
* [http://arxiv.org/pdf/1203.4487v2 Recommender systems in industrial contexts] - [[Frank Meyer]]&lt;br /&gt;
* [http://opus.bsz-bw.de/ubhi/volltexte/2012/167/pdf/item_recommendation.pdf Supervised Machine Learning Methods for Item Recommendation] - [[Zeno Gantner]]&lt;br /&gt;
* [http://gradworks.umi.com/35/23/3523081.html Understanding Consistency of Recommender Systems: Behavioral and Algorithmic Perspectives] - [[Jingjing Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2011 ===&lt;br /&gt;
* [http://users.cecs.anu.edu.au/~sguo/thesis.pdf Bayesian Recommender Systems: Models and Algorithms] - [[Shengbo Guo]]&lt;br /&gt;
* [http://www.inf.unibz.it/~lbaltrunas/doc/linas_phd_thesis.pdf Context-Aware Collaborative Filtering Recommender Systems] - [[Linas Baltrunas]]&lt;br /&gt;
* [http://benfields.net/bfields_thesis.pdf Contextualize Your Listening: The Playlist as Recommendation Engine] - [[Ben Fields]]&lt;br /&gt;
* [http://www.eric.ed.gov/ERICWebPortal/search/detailmini.jsp?_nfpb=true&amp;amp;_&amp;amp;ERICExtSearch_SearchValue_0=ED534217&amp;amp;ERICExtSearch_SearchType_0=no&amp;amp;accno=ED534217 Deployment of Recommender Systems: Operational and Strategic Issues] - [[Abhijeet Ghoshal]]&lt;br /&gt;
* [http://espace.library.uq.edu.au/view/UQ:263213 Effective and Efficient Collaborative Filtering] - [[Yi Ding]]&lt;br /&gt;
* [http://www.cse.cuhk.edu.hk/lyu/_media/students/thesisxin9.pdf Effective Fusion-based Approaches for Recommender Systems] - [[Xin Xin]]&lt;br /&gt;
* [http://www.aka-verlag.com/de/detail?ean=978-3-89838-332-5 Formal Concept Analysis and Tag Recommendations in Collaborative Tagging Systems] - [[Robert Jäschke]]&lt;br /&gt;
* [http://uclab.khu.ac.kr/resources/thesis/PhD_Thesis_Weiwei.pdf Improved Trust-Aware Recommender System using Small-Worldness of Trust Networks] - [[Weiwei Yuan]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/117321 Personalized Recommendation in Social Network Sites] - [[Jilin Chen]]&lt;br /&gt;
* [http://lac-repo-live7.is.ed.ac.uk/bitstream/1842/5770/1/Givon2011.pdf Predicting and using social tags to improve the accuracy and transparency of recommender systems] - [[Sharon Givon]]&lt;br /&gt;
* [http://slavnik.fe.uni-lj.si/markot/uploads/Main/2010_tkalcic_phd.pdf Recognition and usage of emotive parameters in recommender systems] - [[Marko Tkalčič]]&lt;br /&gt;
* [http://gradworks.umi.com/34/79/3479962.html Swarm intellilgence for clustering dynamic data sets for web usage mining and personalization] - [[Esin Saka]]&lt;br /&gt;
* [http://eprints.qut.edu.au/41879/1/Huizhi_Liang_Thesis.pdf User profiling based on folksonomy information in Web 2.0 for personalized recommender systems] - [[Huizhi Liang]]&lt;br /&gt;
* [http://eprints.qut.edu.au/49168/1/Touhid_Bhuiyan_Thesis.pdf Trust-based automated recommendation making] - [[Touhid Bhuiyan]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/1687272 Using Data Mining for Facilitating User Contributions in the Social Semantic Web] - [[Maryam Ramezani]]&lt;br /&gt;
* [http://gradworks.umi.com/34/49/3449549.html Visualization of music relational information sources for analysis, navigation, and discovery] - [[Justin Donaldson]]&lt;br /&gt;
&lt;br /&gt;
=== 2010 ===&lt;br /&gt;
* [http://www.amazon.com/Domain-Independent-Framework-Intelligent-Recommendations-Application/dp/3838113756 A Domain-Independent Framework for Intelligent Recommendations] - [[Jörn David]]&lt;br /&gt;
* [http://www.cp.jku.at/people/seyerlehner/supervised/seyerlehner_phd.pdf Content-Based Music Recommender Systems: Beyond simple Frame-Level Audio Similarity] - [[Klaus Seyerlehner]]&lt;br /&gt;
* [http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-642-16897-0 Context-Aware Ranking with Factorization Models] - [[Steffen Rendle]]&lt;br /&gt;
* [http://www.cs.ucl.ac.uk/staff/n.lathia/thesis.html Evaluating Collaborative Filtering Over Time] - [[Neal Lathia]]&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2010/2695/pdf/wetzker_robert.pdf Graph-Based Recommendation in Broad Folksonomies] - [[Robert Wetzker]]&lt;br /&gt;
* [http://lib.tkk.fi/Diss/2010/isbn9789526031514/isbn9789526031514.pdf Methods and Applications for Ontology-based Recommender Systems] - [[Tuukka Ruotsalo]]&lt;br /&gt;
* [http://theses.gla.ac.uk/2132/01/2010hopfgartner1phd.pdf Personalised video retrieval: application of implicit feedback and semantic user profiles] - [[Frank Hopfgartner]]&lt;br /&gt;
* [http://www.dsc.ufcg.edu.br/~lbmarinho/homepage/pub/thesis_marinho.pdf Recommender Systems for Social Tagging Systems] - [[Leandro Balby Marinho]]&lt;br /&gt;
* [http://www.verlagdrkovac.de/3-8300-5081-X.htm Recommender Systeme für produktbegleitende Dienstleistungen] - [[Margarethe Frohs]]&lt;br /&gt;
* [http://wrap.warwick.ac.uk/3759/1/WRAP_THESIS_Li_2010.pdf Relational clustering models for knowledge discovery and recommender systems] - [[Tao Li]]&lt;br /&gt;
* [https://biblio.ugent.be/publication/986279/file/1886805.pdf Trust networks for recommender systems] - [[Patricia Victor]]&lt;br /&gt;
* [http://gradworks.umi.com/34/70/3470158.html User session and history modeling for collaborative visualization] - [[Fanhai Yang]]&lt;br /&gt;
&lt;br /&gt;
=== 2009 ===&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2009/2245/pdf/lommatzsch_andreas.pdf Eine offene Architektur für die agentenbasierte, adaptive, personalisierte Informationsfilterung] (German) - [[Andreas Lommatzsch]]&lt;br /&gt;
* [http://www.abdn.ac.uk/~csc284/Nava%20Tintarev_PhD_Thesis_%282010%29.pdf Explaining recommendations] - [[Nava Tintarev]]&lt;br /&gt;
* [http://www.omikk.bme.hu/collections/phd/Villamosmernoki_es_Informatikai_Kar/2010/Pilaszy_Istvan/ertekezes.pdf Factorization-Based Large Scale Recommendation Algorithms] - [[István Pilászy]]&lt;br /&gt;
* [http://www.shilad.com/shilads_thesis.pdf Nurturing Tagging Communities] - [[Shilad Sen]]&lt;br /&gt;
* [http://repository.upenn.edu/dissertations/AAI3363295/ Recommender systems and market diversity] - [[Daniel M. Fleder]]&lt;br /&gt;
* [http://itlab.dbit.dk/~toine/?page_id=6 Recommender Systems for Social Bookmarking] - [[Toine Bogers]]&lt;br /&gt;
* [http://svn.egovmon.no/svn/phdgoodwin/thesis/referenceexample/MMR_thesis_afterDefense.pdf Towards Efficient Music Similarity Search, Ranking, and Recommendation] - [[Maria Magdalena Ruxanda]]&lt;br /&gt;
&lt;br /&gt;
=== 2008 ===&lt;br /&gt;
* [http://essay.utwente.nl/59711/1/MA_thesis_J_de_Wit.pdf Evaluating recommender systems : an evaluation framework to predict user satisfaction for recommender systems in an electronic programme guide context] - [[Joost de Wit]]&lt;br /&gt;
* [http://arantxa.ii.uam.es/~cantador/doc/2008/thesis08.zip Exploiting the Conceptual Space in Hybrid Recommender Systems: a Semantic-based Approach] - [[Iván Cantador]]&lt;br /&gt;
* [http://eprints.qut.edu.au/29165/2/Li-Tung_Weng_Thesis.pdf Information Enrichment for Quality Recommender Systems] - [[Li-Tung Weng]]&lt;br /&gt;
* [http://tomheath.com/thesis/html Information-seeking on the Web with Trusted Social Networks – from Theory to Systems] - [[Tom Heath]]&lt;br /&gt;
* [http://www.cs.umass.edu/~marlin/research/phd_thesis/marlin-phd-thesis.pdf Missing Data Problems in Machine Learning] - [[Benjamin Marlin]]&lt;br /&gt;
* [http://mtg.upf.edu/node/1217 Music Recommendation and Discovery in the Long Tail] - [[Òscar Celma]]&lt;br /&gt;
* [http://hal.inria.fr/docs/00/34/83/70/PDF/TeseFinal.pdf Recommender System based on Personality Traits] - [[Maria Augusta Silveira Netto Nunes]]&lt;br /&gt;
* [http://winnie.kuis.kyoto-u.ac.jp/members/yoshii/d-thesis-yoshii.pdf Studies on Hybrid Music Recommendation Using Timbral and Rhythmic Features] - [[Kazuyoshi Yoshii]]&lt;br /&gt;
* [http://www.peterlang.com/index.cfm?event=cmp.ccc.seitenstruktur.detailseiten&amp;amp;seitentyp=produkt&amp;amp;pk=56341&amp;amp;cid=367 Towards Metadata-aware Algorithms for Recommender Systems] - [[Karen H. L. Tso-Sutter]]&lt;br /&gt;
* [http://hci.epfl.ch/members/lichen/EPFL_TH4140.pdf User Decision Improvement and Trust Building in Product Recommender Systems] - [[Li Chen]]&lt;br /&gt;
&lt;br /&gt;
=== 2007 ===&lt;br /&gt;
* [http://www.ulrichpaquet.com/Papers/PhDThesis.pdf Bayesian Inference for Latent Variable Models] - [[Ulrich Paquet]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~arashid/thesis.pdf Mining Influence in Recommender Systems] - [[Al Mamunur Rashid]]&lt;br /&gt;
* [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.91.2714&amp;amp;rep=rep1&amp;amp;type=pdf Building Trustworthy Recommender Systems] - [[Sheng Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2006 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1269509 Designing social interactions with animated avatars and speech output for product recommendation agents in electronic commerce] - [[Lingyun Qiu]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~mcnee/mcnee-thesis-preprint.pdf Meeting User Information Needs in Recommender Systems] - [[Sean McNee]]&lt;br /&gt;
&lt;br /&gt;
=== 2005 ===&lt;br /&gt;
* [http://eprints.ecs.soton.ac.uk/10692/1/wei-phd-thesis.pdf A Market-Based Approach to Recommender Systems] - [[Yan Zheng Wei]]&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1123874 Explanet: a learning tool and hybrid recommender system for student-authored explanations] - [[Jessica Masters]]&lt;br /&gt;
* Hybrid recommendation techniques based on user profiles - [[Pasquale Lops]]&lt;br /&gt;
* [http://www.princeton.edu/~smorris/pdfs/PhD/Ozmen.pdf Information Transmission and Recommender Systems] - [[Deran Özmen]]&lt;br /&gt;
* [https://doc.telin.nl/dsweb/Get/Document-56873 Supporting People In Finding Information: Hybrid Recommender Systems and Goal-Based Structuring] - [[Mark van Setten]]&lt;br /&gt;
* [http://www.freidok.uni-freiburg.de/volltexte/1804/pdf/Thesis.pdf Towards Decentralized Recommender Systems] - [[Cai-Nicolas Ziegler]]&lt;br /&gt;
* [http://dspace.mit.edu/bitstream/handle/1721.1/31137/61184336.pdf?sequence=1 Use of Discrete Choice Models with Recommender Systems] - [[Bassam H. Chaptini]]&lt;br /&gt;
&lt;br /&gt;
=== 2004 ===&lt;br /&gt;
&lt;br /&gt;
=== 2003 ===&lt;br /&gt;
* [http://eia.udg.es/~mmontane/montaner-thesis03.pdf Collaborative recommender agents based on case-based reasoning and trust] - [[Miquel Montaner]]&lt;br /&gt;
* [https://circle.ubc.ca/bitstream/handle/2429/14933/ubc_2003-859525.pdf?sequence=1 The Impact of Internalization and Familiarity on Trust and Adoption of Recommendation Agents] - [[Sherrie Komiak]]&lt;br /&gt;
* [http://knuth.luther.edu/~bmiller/Papers/thesis.pdf Toward a Personal Recommender System] - [[Bradley N. Miller]]&lt;br /&gt;
&lt;br /&gt;
=== 2002 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=935978 Recommendation as classification and recommendation as matching: two information-centered approaches to recommendation] - [[Chumki Basu]]&lt;br /&gt;
&lt;br /&gt;
=== 2001 ===&lt;br /&gt;
* [http://www.patrickbaudisch.com/publications/2001-Baudisch-Dissertation-DynamicInformationFiltering.pdf Dynamic Information Filtering] - [[Patrick Baudisch]]&lt;br /&gt;
* [http://www.cs.uni.edu/~schafer/publications/schafer_thesis.pdf MetaLens: A Framework for Multsource Recommendations] - [[Ben Schafer]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~sarwar/thesis.ps Sparsity, scalability, and distribution in recommender systems] - [[Badrul Munir Sarwar]]&lt;br /&gt;
&lt;br /&gt;
=== 2000 ===&lt;br /&gt;
&lt;br /&gt;
=== 1999 ===&lt;br /&gt;
&lt;br /&gt;
=== 1998 ===&lt;br /&gt;
&lt;br /&gt;
=== 1997 ===&lt;br /&gt;
* Recommender Systems for Problem Solving Environments - [[Naren Ramakrishnan]]&lt;br /&gt;
&lt;br /&gt;
== External links ==&lt;br /&gt;
* [http://pampalk.at/mir-phds/ PhD Theses and Doctoral Dissertations Related to Music Information Retrieval]&lt;br /&gt;
* [http://www.mendeley.com/groups/3058301/recommender-system-dissertations/papers/ Mendeley collection of Recommender System dissertations] (based on this page)&lt;br /&gt;
&lt;br /&gt;
[[Category: List|Dissertation]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2356</id>
		<title>List of recommender system dissertations</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2356"/>
		<updated>2015-11-30T13:22:07Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Recommender systems]] related '''''doctoral''''' dissertations by year. For other types of theses see:&lt;br /&gt;
* [[List of recommender systems master's theses]]&lt;br /&gt;
* [[List of recommender systems bachelor's theses]]&lt;br /&gt;
&lt;br /&gt;
Dissertation within a year are sorted alphabetically by title.&lt;br /&gt;
&lt;br /&gt;
=== 2015 ===&lt;br /&gt;
* [http://krex.k-state.edu/dspace/bitstream/handle/2097/19779/RohitParimi2015.pdf?sequence=6&amp;amp;isAllowed=y Collaborative Filtering Approaches for Single-domains and Cross-domain Recommender Systems] - [[Rohit Parimi]]&lt;br /&gt;
&lt;br /&gt;
* [http://ir.ii.uam.es/saul/saulvargas-thesis.pdf Novelty and Diversity Evaluation and Enhancement in Recommender Systems] - [[Saúl Vargas]]&lt;br /&gt;
&lt;br /&gt;
* [http://docear.org/papers/Towards%20Effective%20Research-Paper%20Recommender%20Systems%20and%20User%20Modeling%20based%20on%20Mind%20Maps.pdf Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Maps] - Joeran Beel&lt;br /&gt;
&lt;br /&gt;
=== 2014 ===&lt;br /&gt;
* [http://scholarlyrepository.miami.edu/cgi/viewcontent.cgi?article=2209&amp;amp;context=oa_dissertations A Model-Based Music Recommendation System for Individual Users and Implicit User Groups] - [[Yajie Hu]] &lt;br /&gt;
* [https://boa.unimib.it/retrieve/handle/10281/70560/104693/PhD_unimib_%20%09732150%20.pdf Advancing Recommender Systems from the Algorithm, Interface and Methodological Perspective] - [[Marco Rossetti]]&lt;br /&gt;
* [http://infoscience.epfl.ch/record/199806 Aggregating Information from the Crowd: ratings, recommendations and predictions] - [[Florent Garcin]]&lt;br /&gt;
* [http://wanlab.poly.edu/xiwang/doc/thesis.pdf Collaborative Filtering Based Social Recommender Systems] - [[Xiwang Yang]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/3158723 Cross-domain Recommendations based on semantically-enhanced User Web Behavior] - [[Julia Hoxha]] &lt;br /&gt;
* [http://www.win.tue.nl/ipa/?event=cryptographically-enhanced-privacy-for-recommender-systems Cryptographically-Enhanced Privacy for Recommender Systems] - [[Arjan Jeckmans]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/11299/167084 Database management system support for collaborative filtering recommender systems] - [[Mohamed Sarwat]]&lt;br /&gt;
* [http://bit.ly/simonphd Dynamic Generation of Personalized Hybrid Recommender Systems] - [[Simon Dooms]]&lt;br /&gt;
* Enhancing Discovery in Geoportals: Geo-Enrichment, Semantic Enhancement and Recommendation Strategies for Geo-Information Discovery - [[Bernhard Vockner]]&lt;br /&gt;
* [http://www.lsi.upc.edu/~vcodina/phd.pdf Exploiting Distributional Semantics for Content-Based and Context-Aware Recommendation] - [[Victor Codina]]&lt;br /&gt;
* [http://micheletrevisiol.com/data/Exploiting_Implicit_User_Activity_for_Media_Recommendation.pdf Exploiting Implicit User Activity for Media Recommendation] - [[Michele Trevisiol]]&lt;br /&gt;
* [http://arks.princeton.edu/ark:/88435/dsp01nv935299q Information Aggregation in Quantized Consensus, Recommender Systems, and Ranking] - [[Shang Shang]]&lt;br /&gt;
* [http://repository.lib.ncsu.edu/ir/bitstream/1840.16/9727/1/etd.pdf More Usable Recommendation Systems for Improving Software Quality] - [[Yoonki Song]]&lt;br /&gt;
* [http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=2550&amp;amp;context=etd Next Generation of Recommender Systems: Algorithms and Applications] - [[Lei Li]]&lt;br /&gt;
* [http://ethesis.unifr.ch/theses/downloads.php?file=TeranL.pdf SmartParticipation: A Fuzzy-Based Recommender System for Political Community-Building] - [[Luis Fernando Terán Tamayo]]&lt;br /&gt;
* [http://elehack.net/research/thesis/ Towards Recommender Engineering: Tools and Experiments for Identifying Recommender Differences] - [[Michael Ekstrand]]&lt;br /&gt;
* [http://tampub.uta.fi/bitstream/handle/10024/95965/978-951-44-9551-9.pdf User Factors in Recommender Systems: Case Studies in e-Commerce, News Recommending, and e-Learning] - [[Juha Leino]]&lt;br /&gt;
&lt;br /&gt;
=== 2013 ===&lt;br /&gt;
* [http://interactivesystems.info/publications/a-conceptual-model-and-a-software-framework-for-developing-context-aware-hybrid-recommender-systems A conceptual model and a software framework for developing context aware hybrid recommender systems] - [[Tim Hussein]]&lt;br /&gt;
* [http://shodhganga.inflibnet.ac.in/handle/10603/24399 Effective tag recommendation system based on topic ontology] - [[V Subramaniyaswamy]]&lt;br /&gt;
* [http://eprints.ucm.es/24533/ Estrategias de recomendación basadas en conocimiento para la localización personalizada de recursos en repositorios educativos] (Spanish) - [[Almudena Ruiz-Iniesta]]&lt;br /&gt;
* [http://opus4.kobv.de/opus4-tuberlin/frontdoor/index/index/docId/3681 Evaluating the Accuracy and Utility of Recommender Systems] - [[Alan Said]]&lt;br /&gt;
* [http://julian-urbano.info/publications/061-evaluation-audio-music-similarity Evaluation in Audio Music Similarity] - [[Julián Urbano]]&lt;br /&gt;
* [https://biblio.ugent.be/input/download?func=downloadFile&amp;amp;recordOId=4163727&amp;amp;fileOId=4163752 Improved online services by personalized recommendations and optimal quality of experience parameters] - [[Toon De Pessemier]]&lt;br /&gt;
* [http://hdl.handle.net/10059/859 Integrating Content and Semantic Representations for Music Recommendation] - [[Ben Horsburgh]]&lt;br /&gt;
* [http://escholarship.org/uc/item/4xw874p5#page-1 Latent feature models for dyadic prediction] - [[Aditya Krishna Menon]]&lt;br /&gt;
* [http://edok01.tib.uni-hannover.de/edoks/e01dh13/767033973.pdf Living Analytics Methods for the Social Web] - [[Ernesto Diaz-Aviles]]&lt;br /&gt;
* [http://repository.tudelft.nl/assets/uuid:f7d3977e-f191-40d4-8f27-784a32902a55/thesis_yueshi.pdf Ranking and Context-awareness in Recommender Systems] - [[Yue Shi]]&lt;br /&gt;
* [https://repositorio.uam.es/bitstream/handle/10486/14091/66095_campos%20soto%20pedro%20g..pdf Recommender Systems and Time Context: Characterization of a Robust Evaluation Protocol to Increase Reliability of Measured Improvemenets] - [[Pedro Campos]]&lt;br /&gt;
* [http://users.soe.ucsc.edu/~jwang30/index.files/dissertation-Jian.pdf Session Aware Recommender System in E-Commerce] - [[Jian Wang]]&lt;br /&gt;
* [http://doras.dcu.ie/17737/ Social contextuality and conversational recommender systems] - [[Eoin Hurrell]]&lt;br /&gt;
* [http://liris.cnrs.fr/Documents/Liris-6406.pdf Trace-Based Reasoning for User Assistance and Recommendations] - [[Raafat Zarka]]&lt;br /&gt;
* [http://kth.diva-portal.org/smash/record.jsf?pid=diva2:606503 Trust-Based User Profiling] - [[Nima Dokoohaki]]&lt;br /&gt;
* [http://scidok.sulb.uni-saarland.de/volltexte/2013/5528/pdf/Boehmer_2013_MobileApplicationUsage_low.pdf Understanding and supporting mobile application usage] - [[Matthias Böhmer]]&lt;br /&gt;
* [http://d-scholarship.pitt.edu/19733/ User Contrallability in a Hybrid Recommender System] - [[Denis Parra]]&lt;br /&gt;
&lt;br /&gt;
=== 2012 ===&lt;br /&gt;
* [http://library.epfl.ch/en/theses/?nr=5318 Design and User Perception Issues for Personality-Engaged Recommender Systems] - [[Rong Hu]]&lt;br /&gt;
* [http://www.di.uniba.it/~swap/papers/musto_thesis.pdf Enhanced Vector Space Models for Content-based Recommender Systems] - [[Cataldo Musto]]&lt;br /&gt;
* [http://dalspace.library.dal.ca/bitstream/handle/10222/14735/Lipczak,%20Marek,%20PhD,%20CS,%20March%202012.pdf?sequence=5 Hybrid Tag Recommendation in Collaborative Tagging Systems] - [[Marek Lipczak]]&lt;br /&gt;
* [http://gradworks.umi.com/35/05/3505275.html Interaction Methods for Large Scale Graph Visualization Systems --- Using Manipulation to Aid Discovery] - [[Brynjar Gretarsson]]&lt;br /&gt;
* [http://www.evazangerle.at/wp-content/papercite-data/pdf/evaphd.pdf Leveraging Recommender Systems for the Creation and Maintenance of Structure within Collaborative Social Media Platforms] - [[Eva Zangerle]]&lt;br /&gt;
* [https://eldorado.tu-dortmund.de/bitstream/2003/29661/1/Dissertation.pdf Leveraging Tagging Data for Recommender Systems] - [[Fatih Gedikli]]&lt;br /&gt;
* [http://cseweb.ucsd.edu/~bmcfee/papers/bmcfee_dissertation.pdf More like this: machine learning approaches to music similarity] - [[Brian McFee]]&lt;br /&gt;
* [http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-17249 On some Challenges for Online Trust and Reputation Systems] - [[Mozhgan Tavakolifard]]&lt;br /&gt;
* [http://www.l3s.de/~krestel/cmsimple3_2/?Publications:Others:PhD_Thesis_12 On the Use of Language Models and Topic Models in the Web: New Algorithms for Filtering, Classification, Ranking, and Recommendation] - [[Ralf Krestel]]&lt;br /&gt;
* [http://ir.ii.uam.es/~alejandro/thesis/thesis-bellogin.pdf Performance prediction and evaluation in Recommender Systems: an Information Retrieval perspective] - [[Alejandro Bellogin]]&lt;br /&gt;
* [http://eprints.qut.edu.au/59507/1/Noraswaliza_Abdullah_Thesis.pdf Integrating collaborative filtering and matching-based search for product recommendation] - [[Noraswaliza Abdullah]]&lt;br /&gt;
* [http://www.uns.ac.rs/sr/doktorske/aleksandraKlasnjaMilicevic/disertacija.pdf Personalized Recommendation Based on Collaborative Tagging Techniques for an E-learning System] - [[Aleksandra Klašnja‐Milićević]]&lt;br /&gt;
* [http://arxiv.org/pdf/1203.4487v2 Recommender systems in industrial contexts] - [[Frank Meyer]]&lt;br /&gt;
* [http://opus.bsz-bw.de/ubhi/volltexte/2012/167/pdf/item_recommendation.pdf Supervised Machine Learning Methods for Item Recommendation] - [[Zeno Gantner]]&lt;br /&gt;
* [http://gradworks.umi.com/35/23/3523081.html Understanding Consistency of Recommender Systems: Behavioral and Algorithmic Perspectives] - [[Jingjing Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2011 ===&lt;br /&gt;
* [http://users.cecs.anu.edu.au/~sguo/thesis.pdf Bayesian Recommender Systems: Models and Algorithms] - [[Shengbo Guo]]&lt;br /&gt;
* [http://www.inf.unibz.it/~lbaltrunas/doc/linas_phd_thesis.pdf Context-Aware Collaborative Filtering Recommender Systems] - [[Linas Baltrunas]]&lt;br /&gt;
* [http://benfields.net/bfields_thesis.pdf Contextualize Your Listening: The Playlist as Recommendation Engine] - [[Ben Fields]]&lt;br /&gt;
* [http://www.eric.ed.gov/ERICWebPortal/search/detailmini.jsp?_nfpb=true&amp;amp;_&amp;amp;ERICExtSearch_SearchValue_0=ED534217&amp;amp;ERICExtSearch_SearchType_0=no&amp;amp;accno=ED534217 Deployment of Recommender Systems: Operational and Strategic Issues] - [[Abhijeet Ghoshal]]&lt;br /&gt;
* [http://espace.library.uq.edu.au/view/UQ:263213 Effective and Efficient Collaborative Filtering] - [[Yi Ding]]&lt;br /&gt;
* [http://www.cse.cuhk.edu.hk/lyu/_media/students/thesisxin9.pdf Effective Fusion-based Approaches for Recommender Systems] - [[Xin Xin]]&lt;br /&gt;
* [http://www.aka-verlag.com/de/detail?ean=978-3-89838-332-5 Formal Concept Analysis and Tag Recommendations in Collaborative Tagging Systems] - [[Robert Jäschke]]&lt;br /&gt;
* [http://uclab.khu.ac.kr/resources/thesis/PhD_Thesis_Weiwei.pdf Improved Trust-Aware Recommender System using Small-Worldness of Trust Networks] - [[Weiwei Yuan]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/117321 Personalized Recommendation in Social Network Sites] - [[Jilin Chen]]&lt;br /&gt;
* [http://lac-repo-live7.is.ed.ac.uk/bitstream/1842/5770/1/Givon2011.pdf Predicting and using social tags to improve the accuracy and transparency of recommender systems] - [[Sharon Givon]]&lt;br /&gt;
* [http://slavnik.fe.uni-lj.si/markot/uploads/Main/2010_tkalcic_phd.pdf Recognition and usage of emotive parameters in recommender systems] - [[Marko Tkalčič]]&lt;br /&gt;
* [http://gradworks.umi.com/34/79/3479962.html Swarm intellilgence for clustering dynamic data sets for web usage mining and personalization] - [[Esin Saka]]&lt;br /&gt;
* [http://eprints.qut.edu.au/41879/1/Huizhi_Liang_Thesis.pdf User profiling based on folksonomy information in Web 2.0 for personalized recommender systems] - [[Huizhi Liang]]&lt;br /&gt;
* [http://eprints.qut.edu.au/49168/1/Touhid_Bhuiyan_Thesis.pdf Trust-based automated recommendation making] - [[Touhid Bhuiyan]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/1687272 Using Data Mining for Facilitating User Contributions in the Social Semantic Web] - [[Maryam Ramezani]]&lt;br /&gt;
* [http://gradworks.umi.com/34/49/3449549.html Visualization of music relational information sources for analysis, navigation, and discovery] - [[Justin Donaldson]]&lt;br /&gt;
&lt;br /&gt;
=== 2010 ===&lt;br /&gt;
* [http://www.amazon.com/Domain-Independent-Framework-Intelligent-Recommendations-Application/dp/3838113756 A Domain-Independent Framework for Intelligent Recommendations] - [[Jörn David]]&lt;br /&gt;
* [http://www.cp.jku.at/people/seyerlehner/supervised/seyerlehner_phd.pdf Content-Based Music Recommender Systems: Beyond simple Frame-Level Audio Similarity] - [[Klaus Seyerlehner]]&lt;br /&gt;
* [http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-642-16897-0 Context-Aware Ranking with Factorization Models] - [[Steffen Rendle]]&lt;br /&gt;
* [http://www.cs.ucl.ac.uk/staff/n.lathia/thesis.html Evaluating Collaborative Filtering Over Time] - [[Neal Lathia]]&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2010/2695/pdf/wetzker_robert.pdf Graph-Based Recommendation in Broad Folksonomies] - [[Robert Wetzker]]&lt;br /&gt;
* [http://lib.tkk.fi/Diss/2010/isbn9789526031514/isbn9789526031514.pdf Methods and Applications for Ontology-based Recommender Systems] - [[Tuukka Ruotsalo]]&lt;br /&gt;
* [http://theses.gla.ac.uk/2132/01/2010hopfgartner1phd.pdf Personalised video retrieval: application of implicit feedback and semantic user profiles] - [[Frank Hopfgartner]]&lt;br /&gt;
* [http://www.dsc.ufcg.edu.br/~lbmarinho/homepage/pub/thesis_marinho.pdf Recommender Systems for Social Tagging Systems] - [[Leandro Balby Marinho]]&lt;br /&gt;
* [http://www.verlagdrkovac.de/3-8300-5081-X.htm Recommender Systeme für produktbegleitende Dienstleistungen] - [[Margarethe Frohs]]&lt;br /&gt;
* [http://wrap.warwick.ac.uk/3759/1/WRAP_THESIS_Li_2010.pdf Relational clustering models for knowledge discovery and recommender systems] - [[Tao Li]]&lt;br /&gt;
* [https://biblio.ugent.be/publication/986279/file/1886805.pdf Trust networks for recommender systems] - [[Patricia Victor]]&lt;br /&gt;
* [http://gradworks.umi.com/34/70/3470158.html User session and history modeling for collaborative visualization] - [[Fanhai Yang]]&lt;br /&gt;
&lt;br /&gt;
=== 2009 ===&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2009/2245/pdf/lommatzsch_andreas.pdf Eine offene Architektur für die agentenbasierte, adaptive, personalisierte Informationsfilterung] (German) - [[Andreas Lommatzsch]]&lt;br /&gt;
* [http://www.abdn.ac.uk/~csc284/Nava%20Tintarev_PhD_Thesis_%282010%29.pdf Explaining recommendations] - [[Nava Tintarev]]&lt;br /&gt;
* [http://www.omikk.bme.hu/collections/phd/Villamosmernoki_es_Informatikai_Kar/2010/Pilaszy_Istvan/ertekezes.pdf Factorization-Based Large Scale Recommendation Algorithms] - [[István Pilászy]]&lt;br /&gt;
* [http://www.shilad.com/shilads_thesis.pdf Nurturing Tagging Communities] - [[Shilad Sen]]&lt;br /&gt;
* [http://repository.upenn.edu/dissertations/AAI3363295/ Recommender systems and market diversity] - [[Daniel M. Fleder]]&lt;br /&gt;
* [http://itlab.dbit.dk/~toine/?page_id=6 Recommender Systems for Social Bookmarking] - [[Toine Bogers]]&lt;br /&gt;
* [http://svn.egovmon.no/svn/phdgoodwin/thesis/referenceexample/MMR_thesis_afterDefense.pdf Towards Efficient Music Similarity Search, Ranking, and Recommendation] - [[Maria Magdalena Ruxanda]]&lt;br /&gt;
&lt;br /&gt;
=== 2008 ===&lt;br /&gt;
* [http://essay.utwente.nl/59711/1/MA_thesis_J_de_Wit.pdf Evaluating recommender systems : an evaluation framework to predict user satisfaction for recommender systems in an electronic programme guide context] - [[Joost de Wit]]&lt;br /&gt;
* [http://arantxa.ii.uam.es/~cantador/doc/2008/thesis08.zip Exploiting the Conceptual Space in Hybrid Recommender Systems: a Semantic-based Approach] - [[Iván Cantador]]&lt;br /&gt;
* [http://eprints.qut.edu.au/29165/2/Li-Tung_Weng_Thesis.pdf Information Enrichment for Quality Recommender Systems] - [[Li-Tung Weng]]&lt;br /&gt;
* [http://tomheath.com/thesis/html Information-seeking on the Web with Trusted Social Networks – from Theory to Systems] - [[Tom Heath]]&lt;br /&gt;
* [http://www.cs.umass.edu/~marlin/research/phd_thesis/marlin-phd-thesis.pdf Missing Data Problems in Machine Learning] - [[Benjamin Marlin]]&lt;br /&gt;
* [http://mtg.upf.edu/node/1217 Music Recommendation and Discovery in the Long Tail] - [[Òscar Celma]]&lt;br /&gt;
* [http://hal.inria.fr/docs/00/34/83/70/PDF/TeseFinal.pdf Recommender System based on Personality Traits] - [[Maria Augusta Silveira Netto Nunes]]&lt;br /&gt;
* [http://winnie.kuis.kyoto-u.ac.jp/members/yoshii/d-thesis-yoshii.pdf Studies on Hybrid Music Recommendation Using Timbral and Rhythmic Features] - [[Kazuyoshi Yoshii]]&lt;br /&gt;
* [http://www.peterlang.com/index.cfm?event=cmp.ccc.seitenstruktur.detailseiten&amp;amp;seitentyp=produkt&amp;amp;pk=56341&amp;amp;cid=367 Towards Metadata-aware Algorithms for Recommender Systems] - [[Karen H. L. Tso-Sutter]]&lt;br /&gt;
* [http://hci.epfl.ch/members/lichen/EPFL_TH4140.pdf User Decision Improvement and Trust Building in Product Recommender Systems] - [[Li Chen]]&lt;br /&gt;
&lt;br /&gt;
=== 2007 ===&lt;br /&gt;
* [http://www.ulrichpaquet.com/Papers/PhDThesis.pdf Bayesian Inference for Latent Variable Models] - [[Ulrich Paquet]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~arashid/thesis.pdf Mining Influence in Recommender Systems] - [[Al Mamunur Rashid]]&lt;br /&gt;
* [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.91.2714&amp;amp;rep=rep1&amp;amp;type=pdf Building Trustworthy Recommender Systems] - [[Sheng Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2006 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1269509 Designing social interactions with animated avatars and speech output for product recommendation agents in electronic commerce] - [[Lingyun Qiu]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~mcnee/mcnee-thesis-preprint.pdf Meeting User Information Needs in Recommender Systems] - [[Sean McNee]]&lt;br /&gt;
&lt;br /&gt;
=== 2005 ===&lt;br /&gt;
* [http://eprints.ecs.soton.ac.uk/10692/1/wei-phd-thesis.pdf A Market-Based Approach to Recommender Systems] - [[Yan Zheng Wei]]&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1123874 Explanet: a learning tool and hybrid recommender system for student-authored explanations] - [[Jessica Masters]]&lt;br /&gt;
* Hybrid recommendation techniques based on user profiles - [[Pasquale Lops]]&lt;br /&gt;
* [http://www.princeton.edu/~smorris/pdfs/PhD/Ozmen.pdf Information Transmission and Recommender Systems] - [[Deran Özmen]]&lt;br /&gt;
* [https://doc.telin.nl/dsweb/Get/Document-56873 Supporting People In Finding Information: Hybrid Recommender Systems and Goal-Based Structuring] - [[Mark van Setten]]&lt;br /&gt;
* [http://www.freidok.uni-freiburg.de/volltexte/1804/pdf/Thesis.pdf Towards Decentralized Recommender Systems] - [[Cai-Nicolas Ziegler]]&lt;br /&gt;
* [http://dspace.mit.edu/bitstream/handle/1721.1/31137/61184336.pdf?sequence=1 Use of Discrete Choice Models with Recommender Systems] - [[Bassam H. Chaptini]]&lt;br /&gt;
&lt;br /&gt;
=== 2004 ===&lt;br /&gt;
&lt;br /&gt;
=== 2003 ===&lt;br /&gt;
* [http://eia.udg.es/~mmontane/montaner-thesis03.pdf Collaborative recommender agents based on case-based reasoning and trust] - [[Miquel Montaner]]&lt;br /&gt;
* [https://circle.ubc.ca/bitstream/handle/2429/14933/ubc_2003-859525.pdf?sequence=1 The Impact of Internalization and Familiarity on Trust and Adoption of Recommendation Agents] - [[Sherrie Komiak]]&lt;br /&gt;
* [http://knuth.luther.edu/~bmiller/Papers/thesis.pdf Toward a Personal Recommender System] - [[Bradley N. Miller]]&lt;br /&gt;
&lt;br /&gt;
=== 2002 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=935978 Recommendation as classification and recommendation as matching: two information-centered approaches to recommendation] - [[Chumki Basu]]&lt;br /&gt;
&lt;br /&gt;
=== 2001 ===&lt;br /&gt;
* [http://www.patrickbaudisch.com/publications/2001-Baudisch-Dissertation-DynamicInformationFiltering.pdf Dynamic Information Filtering] - [[Patrick Baudisch]]&lt;br /&gt;
* [http://www.cs.uni.edu/~schafer/publications/schafer_thesis.pdf MetaLens: A Framework for Multsource Recommendations] - [[Ben Schafer]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~sarwar/thesis.ps Sparsity, scalability, and distribution in recommender systems] - [[Badrul Munir Sarwar]]&lt;br /&gt;
&lt;br /&gt;
=== 2000 ===&lt;br /&gt;
&lt;br /&gt;
=== 1999 ===&lt;br /&gt;
&lt;br /&gt;
=== 1998 ===&lt;br /&gt;
&lt;br /&gt;
=== 1997 ===&lt;br /&gt;
* Recommender Systems for Problem Solving Environments - [[Naren Ramakrishnan]]&lt;br /&gt;
&lt;br /&gt;
== External links ==&lt;br /&gt;
* [http://pampalk.at/mir-phds/ PhD Theses and Doctoral Dissertations Related to Music Information Retrieval]&lt;br /&gt;
* [http://www.mendeley.com/groups/3058301/recommender-system-dissertations/papers/ Mendeley collection of Recommender System dissertations] (based on this page)&lt;br /&gt;
&lt;br /&gt;
[[Category: List|Dissertation]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2355</id>
		<title>List of recommender system dissertations</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2355"/>
		<updated>2015-11-30T13:21:27Z</updated>

		<summary type="html">&lt;p&gt;Alan: /* 2015 */  removed master's thesis&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Recommender systems]] related '''doctoral''' dissertations by year. For other types of theses see:&lt;br /&gt;
* [[List of recommender systems master's theses]]&lt;br /&gt;
* [[List of recommender systems bachelor's theses]]&lt;br /&gt;
&lt;br /&gt;
Dissertation within a year are sorted alphabetically by title.&lt;br /&gt;
&lt;br /&gt;
=== 2015 ===&lt;br /&gt;
* [http://krex.k-state.edu/dspace/bitstream/handle/2097/19779/RohitParimi2015.pdf?sequence=6&amp;amp;isAllowed=y Collaborative Filtering Approaches for Single-domains and Cross-domain Recommender Systems] - [[Rohit Parimi]]&lt;br /&gt;
&lt;br /&gt;
* [http://ir.ii.uam.es/saul/saulvargas-thesis.pdf Novelty and Diversity Evaluation and Enhancement in Recommender Systems] - [[Saúl Vargas]]&lt;br /&gt;
&lt;br /&gt;
* [http://docear.org/papers/Towards%20Effective%20Research-Paper%20Recommender%20Systems%20and%20User%20Modeling%20based%20on%20Mind%20Maps.pdf Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Maps] - Joeran Beel&lt;br /&gt;
&lt;br /&gt;
=== 2014 ===&lt;br /&gt;
* [http://scholarlyrepository.miami.edu/cgi/viewcontent.cgi?article=2209&amp;amp;context=oa_dissertations A Model-Based Music Recommendation System for Individual Users and Implicit User Groups] - [[Yajie Hu]] &lt;br /&gt;
* [https://boa.unimib.it/retrieve/handle/10281/70560/104693/PhD_unimib_%20%09732150%20.pdf Advancing Recommender Systems from the Algorithm, Interface and Methodological Perspective] - [[Marco Rossetti]]&lt;br /&gt;
* [http://infoscience.epfl.ch/record/199806 Aggregating Information from the Crowd: ratings, recommendations and predictions] - [[Florent Garcin]]&lt;br /&gt;
* [http://wanlab.poly.edu/xiwang/doc/thesis.pdf Collaborative Filtering Based Social Recommender Systems] - [[Xiwang Yang]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/3158723 Cross-domain Recommendations based on semantically-enhanced User Web Behavior] - [[Julia Hoxha]] &lt;br /&gt;
* [http://www.win.tue.nl/ipa/?event=cryptographically-enhanced-privacy-for-recommender-systems Cryptographically-Enhanced Privacy for Recommender Systems] - [[Arjan Jeckmans]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/11299/167084 Database management system support for collaborative filtering recommender systems] - [[Mohamed Sarwat]]&lt;br /&gt;
* [http://bit.ly/simonphd Dynamic Generation of Personalized Hybrid Recommender Systems] - [[Simon Dooms]]&lt;br /&gt;
* Enhancing Discovery in Geoportals: Geo-Enrichment, Semantic Enhancement and Recommendation Strategies for Geo-Information Discovery - [[Bernhard Vockner]]&lt;br /&gt;
* [http://www.lsi.upc.edu/~vcodina/phd.pdf Exploiting Distributional Semantics for Content-Based and Context-Aware Recommendation] - [[Victor Codina]]&lt;br /&gt;
* [http://micheletrevisiol.com/data/Exploiting_Implicit_User_Activity_for_Media_Recommendation.pdf Exploiting Implicit User Activity for Media Recommendation] - [[Michele Trevisiol]]&lt;br /&gt;
* [http://arks.princeton.edu/ark:/88435/dsp01nv935299q Information Aggregation in Quantized Consensus, Recommender Systems, and Ranking] - [[Shang Shang]]&lt;br /&gt;
* [http://repository.lib.ncsu.edu/ir/bitstream/1840.16/9727/1/etd.pdf More Usable Recommendation Systems for Improving Software Quality] - [[Yoonki Song]]&lt;br /&gt;
* [http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=2550&amp;amp;context=etd Next Generation of Recommender Systems: Algorithms and Applications] - [[Lei Li]]&lt;br /&gt;
* [http://ethesis.unifr.ch/theses/downloads.php?file=TeranL.pdf SmartParticipation: A Fuzzy-Based Recommender System for Political Community-Building] - [[Luis Fernando Terán Tamayo]]&lt;br /&gt;
* [http://elehack.net/research/thesis/ Towards Recommender Engineering: Tools and Experiments for Identifying Recommender Differences] - [[Michael Ekstrand]]&lt;br /&gt;
* [http://tampub.uta.fi/bitstream/handle/10024/95965/978-951-44-9551-9.pdf User Factors in Recommender Systems: Case Studies in e-Commerce, News Recommending, and e-Learning] - [[Juha Leino]]&lt;br /&gt;
&lt;br /&gt;
=== 2013 ===&lt;br /&gt;
* [http://interactivesystems.info/publications/a-conceptual-model-and-a-software-framework-for-developing-context-aware-hybrid-recommender-systems A conceptual model and a software framework for developing context aware hybrid recommender systems] - [[Tim Hussein]]&lt;br /&gt;
* [http://shodhganga.inflibnet.ac.in/handle/10603/24399 Effective tag recommendation system based on topic ontology] - [[V Subramaniyaswamy]]&lt;br /&gt;
* [http://eprints.ucm.es/24533/ Estrategias de recomendación basadas en conocimiento para la localización personalizada de recursos en repositorios educativos] (Spanish) - [[Almudena Ruiz-Iniesta]]&lt;br /&gt;
* [http://opus4.kobv.de/opus4-tuberlin/frontdoor/index/index/docId/3681 Evaluating the Accuracy and Utility of Recommender Systems] - [[Alan Said]]&lt;br /&gt;
* [http://julian-urbano.info/publications/061-evaluation-audio-music-similarity Evaluation in Audio Music Similarity] - [[Julián Urbano]]&lt;br /&gt;
* [https://biblio.ugent.be/input/download?func=downloadFile&amp;amp;recordOId=4163727&amp;amp;fileOId=4163752 Improved online services by personalized recommendations and optimal quality of experience parameters] - [[Toon De Pessemier]]&lt;br /&gt;
* [http://hdl.handle.net/10059/859 Integrating Content and Semantic Representations for Music Recommendation] - [[Ben Horsburgh]]&lt;br /&gt;
* [http://escholarship.org/uc/item/4xw874p5#page-1 Latent feature models for dyadic prediction] - [[Aditya Krishna Menon]]&lt;br /&gt;
* [http://edok01.tib.uni-hannover.de/edoks/e01dh13/767033973.pdf Living Analytics Methods for the Social Web] - [[Ernesto Diaz-Aviles]]&lt;br /&gt;
* [http://repository.tudelft.nl/assets/uuid:f7d3977e-f191-40d4-8f27-784a32902a55/thesis_yueshi.pdf Ranking and Context-awareness in Recommender Systems] - [[Yue Shi]]&lt;br /&gt;
* [https://repositorio.uam.es/bitstream/handle/10486/14091/66095_campos%20soto%20pedro%20g..pdf Recommender Systems and Time Context: Characterization of a Robust Evaluation Protocol to Increase Reliability of Measured Improvemenets] - [[Pedro Campos]]&lt;br /&gt;
* [http://users.soe.ucsc.edu/~jwang30/index.files/dissertation-Jian.pdf Session Aware Recommender System in E-Commerce] - [[Jian Wang]]&lt;br /&gt;
* [http://doras.dcu.ie/17737/ Social contextuality and conversational recommender systems] - [[Eoin Hurrell]]&lt;br /&gt;
* [http://liris.cnrs.fr/Documents/Liris-6406.pdf Trace-Based Reasoning for User Assistance and Recommendations] - [[Raafat Zarka]]&lt;br /&gt;
* [http://kth.diva-portal.org/smash/record.jsf?pid=diva2:606503 Trust-Based User Profiling] - [[Nima Dokoohaki]]&lt;br /&gt;
* [http://scidok.sulb.uni-saarland.de/volltexte/2013/5528/pdf/Boehmer_2013_MobileApplicationUsage_low.pdf Understanding and supporting mobile application usage] - [[Matthias Böhmer]]&lt;br /&gt;
* [http://d-scholarship.pitt.edu/19733/ User Contrallability in a Hybrid Recommender System] - [[Denis Parra]]&lt;br /&gt;
&lt;br /&gt;
=== 2012 ===&lt;br /&gt;
* [http://library.epfl.ch/en/theses/?nr=5318 Design and User Perception Issues for Personality-Engaged Recommender Systems] - [[Rong Hu]]&lt;br /&gt;
* [http://www.di.uniba.it/~swap/papers/musto_thesis.pdf Enhanced Vector Space Models for Content-based Recommender Systems] - [[Cataldo Musto]]&lt;br /&gt;
* [http://dalspace.library.dal.ca/bitstream/handle/10222/14735/Lipczak,%20Marek,%20PhD,%20CS,%20March%202012.pdf?sequence=5 Hybrid Tag Recommendation in Collaborative Tagging Systems] - [[Marek Lipczak]]&lt;br /&gt;
* [http://gradworks.umi.com/35/05/3505275.html Interaction Methods for Large Scale Graph Visualization Systems --- Using Manipulation to Aid Discovery] - [[Brynjar Gretarsson]]&lt;br /&gt;
* [http://www.evazangerle.at/wp-content/papercite-data/pdf/evaphd.pdf Leveraging Recommender Systems for the Creation and Maintenance of Structure within Collaborative Social Media Platforms] - [[Eva Zangerle]]&lt;br /&gt;
* [https://eldorado.tu-dortmund.de/bitstream/2003/29661/1/Dissertation.pdf Leveraging Tagging Data for Recommender Systems] - [[Fatih Gedikli]]&lt;br /&gt;
* [http://cseweb.ucsd.edu/~bmcfee/papers/bmcfee_dissertation.pdf More like this: machine learning approaches to music similarity] - [[Brian McFee]]&lt;br /&gt;
* [http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-17249 On some Challenges for Online Trust and Reputation Systems] - [[Mozhgan Tavakolifard]]&lt;br /&gt;
* [http://www.l3s.de/~krestel/cmsimple3_2/?Publications:Others:PhD_Thesis_12 On the Use of Language Models and Topic Models in the Web: New Algorithms for Filtering, Classification, Ranking, and Recommendation] - [[Ralf Krestel]]&lt;br /&gt;
* [http://ir.ii.uam.es/~alejandro/thesis/thesis-bellogin.pdf Performance prediction and evaluation in Recommender Systems: an Information Retrieval perspective] - [[Alejandro Bellogin]]&lt;br /&gt;
* [http://eprints.qut.edu.au/59507/1/Noraswaliza_Abdullah_Thesis.pdf Integrating collaborative filtering and matching-based search for product recommendation] - [[Noraswaliza Abdullah]]&lt;br /&gt;
* [http://www.uns.ac.rs/sr/doktorske/aleksandraKlasnjaMilicevic/disertacija.pdf Personalized Recommendation Based on Collaborative Tagging Techniques for an E-learning System] - [[Aleksandra Klašnja‐Milićević]]&lt;br /&gt;
* [http://arxiv.org/pdf/1203.4487v2 Recommender systems in industrial contexts] - [[Frank Meyer]]&lt;br /&gt;
* [http://opus.bsz-bw.de/ubhi/volltexte/2012/167/pdf/item_recommendation.pdf Supervised Machine Learning Methods for Item Recommendation] - [[Zeno Gantner]]&lt;br /&gt;
* [http://gradworks.umi.com/35/23/3523081.html Understanding Consistency of Recommender Systems: Behavioral and Algorithmic Perspectives] - [[Jingjing Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2011 ===&lt;br /&gt;
* [http://users.cecs.anu.edu.au/~sguo/thesis.pdf Bayesian Recommender Systems: Models and Algorithms] - [[Shengbo Guo]]&lt;br /&gt;
* [http://www.inf.unibz.it/~lbaltrunas/doc/linas_phd_thesis.pdf Context-Aware Collaborative Filtering Recommender Systems] - [[Linas Baltrunas]]&lt;br /&gt;
* [http://benfields.net/bfields_thesis.pdf Contextualize Your Listening: The Playlist as Recommendation Engine] - [[Ben Fields]]&lt;br /&gt;
* [http://www.eric.ed.gov/ERICWebPortal/search/detailmini.jsp?_nfpb=true&amp;amp;_&amp;amp;ERICExtSearch_SearchValue_0=ED534217&amp;amp;ERICExtSearch_SearchType_0=no&amp;amp;accno=ED534217 Deployment of Recommender Systems: Operational and Strategic Issues] - [[Abhijeet Ghoshal]]&lt;br /&gt;
* [http://espace.library.uq.edu.au/view/UQ:263213 Effective and Efficient Collaborative Filtering] - [[Yi Ding]]&lt;br /&gt;
* [http://www.cse.cuhk.edu.hk/lyu/_media/students/thesisxin9.pdf Effective Fusion-based Approaches for Recommender Systems] - [[Xin Xin]]&lt;br /&gt;
* [http://www.aka-verlag.com/de/detail?ean=978-3-89838-332-5 Formal Concept Analysis and Tag Recommendations in Collaborative Tagging Systems] - [[Robert Jäschke]]&lt;br /&gt;
* [http://uclab.khu.ac.kr/resources/thesis/PhD_Thesis_Weiwei.pdf Improved Trust-Aware Recommender System using Small-Worldness of Trust Networks] - [[Weiwei Yuan]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/117321 Personalized Recommendation in Social Network Sites] - [[Jilin Chen]]&lt;br /&gt;
* [http://lac-repo-live7.is.ed.ac.uk/bitstream/1842/5770/1/Givon2011.pdf Predicting and using social tags to improve the accuracy and transparency of recommender systems] - [[Sharon Givon]]&lt;br /&gt;
* [http://slavnik.fe.uni-lj.si/markot/uploads/Main/2010_tkalcic_phd.pdf Recognition and usage of emotive parameters in recommender systems] - [[Marko Tkalčič]]&lt;br /&gt;
* [http://gradworks.umi.com/34/79/3479962.html Swarm intellilgence for clustering dynamic data sets for web usage mining and personalization] - [[Esin Saka]]&lt;br /&gt;
* [http://eprints.qut.edu.au/41879/1/Huizhi_Liang_Thesis.pdf User profiling based on folksonomy information in Web 2.0 for personalized recommender systems] - [[Huizhi Liang]]&lt;br /&gt;
* [http://eprints.qut.edu.au/49168/1/Touhid_Bhuiyan_Thesis.pdf Trust-based automated recommendation making] - [[Touhid Bhuiyan]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/1687272 Using Data Mining for Facilitating User Contributions in the Social Semantic Web] - [[Maryam Ramezani]]&lt;br /&gt;
* [http://gradworks.umi.com/34/49/3449549.html Visualization of music relational information sources for analysis, navigation, and discovery] - [[Justin Donaldson]]&lt;br /&gt;
&lt;br /&gt;
=== 2010 ===&lt;br /&gt;
* [http://www.amazon.com/Domain-Independent-Framework-Intelligent-Recommendations-Application/dp/3838113756 A Domain-Independent Framework for Intelligent Recommendations] - [[Jörn David]]&lt;br /&gt;
* [http://www.cp.jku.at/people/seyerlehner/supervised/seyerlehner_phd.pdf Content-Based Music Recommender Systems: Beyond simple Frame-Level Audio Similarity] - [[Klaus Seyerlehner]]&lt;br /&gt;
* [http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-642-16897-0 Context-Aware Ranking with Factorization Models] - [[Steffen Rendle]]&lt;br /&gt;
* [http://www.cs.ucl.ac.uk/staff/n.lathia/thesis.html Evaluating Collaborative Filtering Over Time] - [[Neal Lathia]]&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2010/2695/pdf/wetzker_robert.pdf Graph-Based Recommendation in Broad Folksonomies] - [[Robert Wetzker]]&lt;br /&gt;
* [http://lib.tkk.fi/Diss/2010/isbn9789526031514/isbn9789526031514.pdf Methods and Applications for Ontology-based Recommender Systems] - [[Tuukka Ruotsalo]]&lt;br /&gt;
* [http://theses.gla.ac.uk/2132/01/2010hopfgartner1phd.pdf Personalised video retrieval: application of implicit feedback and semantic user profiles] - [[Frank Hopfgartner]]&lt;br /&gt;
* [http://www.dsc.ufcg.edu.br/~lbmarinho/homepage/pub/thesis_marinho.pdf Recommender Systems for Social Tagging Systems] - [[Leandro Balby Marinho]]&lt;br /&gt;
* [http://www.verlagdrkovac.de/3-8300-5081-X.htm Recommender Systeme für produktbegleitende Dienstleistungen] - [[Margarethe Frohs]]&lt;br /&gt;
* [http://wrap.warwick.ac.uk/3759/1/WRAP_THESIS_Li_2010.pdf Relational clustering models for knowledge discovery and recommender systems] - [[Tao Li]]&lt;br /&gt;
* [https://biblio.ugent.be/publication/986279/file/1886805.pdf Trust networks for recommender systems] - [[Patricia Victor]]&lt;br /&gt;
* [http://gradworks.umi.com/34/70/3470158.html User session and history modeling for collaborative visualization] - [[Fanhai Yang]]&lt;br /&gt;
&lt;br /&gt;
=== 2009 ===&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2009/2245/pdf/lommatzsch_andreas.pdf Eine offene Architektur für die agentenbasierte, adaptive, personalisierte Informationsfilterung] (German) - [[Andreas Lommatzsch]]&lt;br /&gt;
* [http://www.abdn.ac.uk/~csc284/Nava%20Tintarev_PhD_Thesis_%282010%29.pdf Explaining recommendations] - [[Nava Tintarev]]&lt;br /&gt;
* [http://www.omikk.bme.hu/collections/phd/Villamosmernoki_es_Informatikai_Kar/2010/Pilaszy_Istvan/ertekezes.pdf Factorization-Based Large Scale Recommendation Algorithms] - [[István Pilászy]]&lt;br /&gt;
* [http://www.shilad.com/shilads_thesis.pdf Nurturing Tagging Communities] - [[Shilad Sen]]&lt;br /&gt;
* [http://repository.upenn.edu/dissertations/AAI3363295/ Recommender systems and market diversity] - [[Daniel M. Fleder]]&lt;br /&gt;
* [http://itlab.dbit.dk/~toine/?page_id=6 Recommender Systems for Social Bookmarking] - [[Toine Bogers]]&lt;br /&gt;
* [http://svn.egovmon.no/svn/phdgoodwin/thesis/referenceexample/MMR_thesis_afterDefense.pdf Towards Efficient Music Similarity Search, Ranking, and Recommendation] - [[Maria Magdalena Ruxanda]]&lt;br /&gt;
&lt;br /&gt;
=== 2008 ===&lt;br /&gt;
* [http://essay.utwente.nl/59711/1/MA_thesis_J_de_Wit.pdf Evaluating recommender systems : an evaluation framework to predict user satisfaction for recommender systems in an electronic programme guide context] - [[Joost de Wit]]&lt;br /&gt;
* [http://arantxa.ii.uam.es/~cantador/doc/2008/thesis08.zip Exploiting the Conceptual Space in Hybrid Recommender Systems: a Semantic-based Approach] - [[Iván Cantador]]&lt;br /&gt;
* [http://eprints.qut.edu.au/29165/2/Li-Tung_Weng_Thesis.pdf Information Enrichment for Quality Recommender Systems] - [[Li-Tung Weng]]&lt;br /&gt;
* [http://tomheath.com/thesis/html Information-seeking on the Web with Trusted Social Networks – from Theory to Systems] - [[Tom Heath]]&lt;br /&gt;
* [http://www.cs.umass.edu/~marlin/research/phd_thesis/marlin-phd-thesis.pdf Missing Data Problems in Machine Learning] - [[Benjamin Marlin]]&lt;br /&gt;
* [http://mtg.upf.edu/node/1217 Music Recommendation and Discovery in the Long Tail] - [[Òscar Celma]]&lt;br /&gt;
* [http://hal.inria.fr/docs/00/34/83/70/PDF/TeseFinal.pdf Recommender System based on Personality Traits] - [[Maria Augusta Silveira Netto Nunes]]&lt;br /&gt;
* [http://winnie.kuis.kyoto-u.ac.jp/members/yoshii/d-thesis-yoshii.pdf Studies on Hybrid Music Recommendation Using Timbral and Rhythmic Features] - [[Kazuyoshi Yoshii]]&lt;br /&gt;
* [http://www.peterlang.com/index.cfm?event=cmp.ccc.seitenstruktur.detailseiten&amp;amp;seitentyp=produkt&amp;amp;pk=56341&amp;amp;cid=367 Towards Metadata-aware Algorithms for Recommender Systems] - [[Karen H. L. Tso-Sutter]]&lt;br /&gt;
* [http://hci.epfl.ch/members/lichen/EPFL_TH4140.pdf User Decision Improvement and Trust Building in Product Recommender Systems] - [[Li Chen]]&lt;br /&gt;
&lt;br /&gt;
=== 2007 ===&lt;br /&gt;
* [http://www.ulrichpaquet.com/Papers/PhDThesis.pdf Bayesian Inference for Latent Variable Models] - [[Ulrich Paquet]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~arashid/thesis.pdf Mining Influence in Recommender Systems] - [[Al Mamunur Rashid]]&lt;br /&gt;
* [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.91.2714&amp;amp;rep=rep1&amp;amp;type=pdf Building Trustworthy Recommender Systems] - [[Sheng Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2006 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1269509 Designing social interactions with animated avatars and speech output for product recommendation agents in electronic commerce] - [[Lingyun Qiu]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~mcnee/mcnee-thesis-preprint.pdf Meeting User Information Needs in Recommender Systems] - [[Sean McNee]]&lt;br /&gt;
&lt;br /&gt;
=== 2005 ===&lt;br /&gt;
* [http://eprints.ecs.soton.ac.uk/10692/1/wei-phd-thesis.pdf A Market-Based Approach to Recommender Systems] - [[Yan Zheng Wei]]&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1123874 Explanet: a learning tool and hybrid recommender system for student-authored explanations] - [[Jessica Masters]]&lt;br /&gt;
* Hybrid recommendation techniques based on user profiles - [[Pasquale Lops]]&lt;br /&gt;
* [http://www.princeton.edu/~smorris/pdfs/PhD/Ozmen.pdf Information Transmission and Recommender Systems] - [[Deran Özmen]]&lt;br /&gt;
* [https://doc.telin.nl/dsweb/Get/Document-56873 Supporting People In Finding Information: Hybrid Recommender Systems and Goal-Based Structuring] - [[Mark van Setten]]&lt;br /&gt;
* [http://www.freidok.uni-freiburg.de/volltexte/1804/pdf/Thesis.pdf Towards Decentralized Recommender Systems] - [[Cai-Nicolas Ziegler]]&lt;br /&gt;
* [http://dspace.mit.edu/bitstream/handle/1721.1/31137/61184336.pdf?sequence=1 Use of Discrete Choice Models with Recommender Systems] - [[Bassam H. Chaptini]]&lt;br /&gt;
&lt;br /&gt;
=== 2004 ===&lt;br /&gt;
&lt;br /&gt;
=== 2003 ===&lt;br /&gt;
* [http://eia.udg.es/~mmontane/montaner-thesis03.pdf Collaborative recommender agents based on case-based reasoning and trust] - [[Miquel Montaner]]&lt;br /&gt;
* [https://circle.ubc.ca/bitstream/handle/2429/14933/ubc_2003-859525.pdf?sequence=1 The Impact of Internalization and Familiarity on Trust and Adoption of Recommendation Agents] - [[Sherrie Komiak]]&lt;br /&gt;
* [http://knuth.luther.edu/~bmiller/Papers/thesis.pdf Toward a Personal Recommender System] - [[Bradley N. Miller]]&lt;br /&gt;
&lt;br /&gt;
=== 2002 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=935978 Recommendation as classification and recommendation as matching: two information-centered approaches to recommendation] - [[Chumki Basu]]&lt;br /&gt;
&lt;br /&gt;
=== 2001 ===&lt;br /&gt;
* [http://www.patrickbaudisch.com/publications/2001-Baudisch-Dissertation-DynamicInformationFiltering.pdf Dynamic Information Filtering] - [[Patrick Baudisch]]&lt;br /&gt;
* [http://www.cs.uni.edu/~schafer/publications/schafer_thesis.pdf MetaLens: A Framework for Multsource Recommendations] - [[Ben Schafer]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~sarwar/thesis.ps Sparsity, scalability, and distribution in recommender systems] - [[Badrul Munir Sarwar]]&lt;br /&gt;
&lt;br /&gt;
=== 2000 ===&lt;br /&gt;
&lt;br /&gt;
=== 1999 ===&lt;br /&gt;
&lt;br /&gt;
=== 1998 ===&lt;br /&gt;
&lt;br /&gt;
=== 1997 ===&lt;br /&gt;
* Recommender Systems for Problem Solving Environments - [[Naren Ramakrishnan]]&lt;br /&gt;
&lt;br /&gt;
== External links ==&lt;br /&gt;
* [http://pampalk.at/mir-phds/ PhD Theses and Doctoral Dissertations Related to Music Information Retrieval]&lt;br /&gt;
* [http://www.mendeley.com/groups/3058301/recommender-system-dissertations/papers/ Mendeley collection of Recommender System dissertations] (based on this page)&lt;br /&gt;
&lt;br /&gt;
[[Category: List|Dissertation]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=Category:Book&amp;diff=2344</id>
		<title>Category:Book</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=Category:Book&amp;diff=2344"/>
		<updated>2015-09-14T08:39:06Z</updated>

		<summary type="html">&lt;p&gt;Alan: Undo revision 2341 by BarreisR (talk)&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category: Literature]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=Category:Book&amp;diff=2343</id>
		<title>Category:Book</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=Category:Book&amp;diff=2343"/>
		<updated>2015-09-14T08:38:47Z</updated>

		<summary type="html">&lt;p&gt;Alan: Undo revision 2342 by BarreisR (talk)&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The book '''Practical Recommender Systems''' goes behind the curtain to show you how recommender systems work and, more importantly, how to create and apply them for your site. After you’ve covered the basics of how recommender systems work, you’ll discover how to collect user data and produce personalized recommendations. Next, you’ll learn how and where to use the most popular recommendation algorithms and see examples of them in action on sites like Amazon and Netflix. Finally, this hands-on guide covers scaling problems and other issues you may encounter as your site grows. &lt;br /&gt;
&lt;br /&gt;
Publication is expected in the Summer of 2016.&lt;br /&gt;
&lt;br /&gt;
== External links ==&lt;br /&gt;
* https://www.manning.com/books/practical-recommender-systems-cx&lt;br /&gt;
[[Category: Book]]&lt;br /&gt;
[[Category: Practical Recommender Systems]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=Recommendation_Datasets&amp;diff=2339</id>
		<title>Recommendation Datasets</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=Recommendation_Datasets&amp;diff=2339"/>
		<updated>2015-08-11T08:18:18Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Datasets used for recommender systems research purposes come from various domains, in different sizes and with different means of expressing user actions.&lt;br /&gt;
The table below shows a comparison of some of the more common datasets for recommendation.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- ######################################### --&amp;gt;&lt;br /&gt;
&amp;lt;!--                                           --&amp;gt;&lt;br /&gt;
&amp;lt;!-- Add new datasets in alphabetical order!!! --&amp;gt;&lt;br /&gt;
&amp;lt;!--                                           --&amp;gt;&lt;br /&gt;
&amp;lt;!-- ######################################### --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
 |-&lt;br /&gt;
 ! Dataset   !! Domain !! No. of user actions !! User actions !! No of users !! License&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MovieLens 100k]]  || Movies || 100 k || ratings || 1k  ||  custom&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MovieLens 1M]] || Movies || 1 M || ratings || 6k ||   custom&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MovieLens 10M]] || Movies || 10 M/100k || ratings/tag assignments|| 72k ||   custom&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MovieLens 20M]] || Movies || 20 M/645k || ratings tag/assignments|| 138k ||   custom&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MovieTweetings]] || Movies || 200k || ratings || 25k ||   custom&lt;br /&gt;
&lt;br /&gt;
 |}&lt;br /&gt;
&lt;br /&gt;
===See also===&lt;br /&gt;
* [[Recommendation Software]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:Dataset]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=Recommendation_Datasets&amp;diff=2338</id>
		<title>Recommendation Datasets</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=Recommendation_Datasets&amp;diff=2338"/>
		<updated>2015-08-11T08:16:34Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Datasets used for recommender systems research purposes come from various domains, in different sizes and with different means of expressing user actions.&lt;br /&gt;
The table below shows a comparison of some of the more common datasets for recommendation.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- ######################################### --&amp;gt;&lt;br /&gt;
&amp;lt;!--                                           --&amp;gt;&lt;br /&gt;
&amp;lt;!-- Add new datasets in alphabetical order!!! --&amp;gt;&lt;br /&gt;
&amp;lt;!--                                           --&amp;gt;&lt;br /&gt;
&amp;lt;!-- ######################################### --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
 |-&lt;br /&gt;
 ! Dataset   !! Domain !! No. of user actions !! No of users !! License&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MovieLens 100k]]  || Movies || 100 k || 1k  ||  custom&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MovieLens 1M]] || Movies || 1 M || 6k ||   custom&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MovieLens 10M]] || Movies || 10 M/100k || 72k ||   custom&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MovieLens 20M]] || Movies || 20 M/645k || 138k ||   custom&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MovieTweetings]] || Movies || 200k || 25k ||   custom&lt;br /&gt;
&lt;br /&gt;
 |}&lt;br /&gt;
&lt;br /&gt;
===See also===&lt;br /&gt;
* [[Recommendation Software]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:Dataset]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=Recommendation_Software&amp;diff=2337</id>
		<title>Recommendation Software</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=Recommendation_Software&amp;diff=2337"/>
		<updated>2015-08-11T08:16:07Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Recommendations are generally provided through a self-implemented software, a machine learning package or a specific '''recommendation-focused''' software package or library. &lt;br /&gt;
&lt;br /&gt;
The table below shows a comparison of some of the more common software packages for recommendation.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- ######################################### --&amp;gt;&lt;br /&gt;
&amp;lt;!--                                           --&amp;gt;&lt;br /&gt;
&amp;lt;!-- Add new software in alphabetical order!!! --&amp;gt;&lt;br /&gt;
&amp;lt;!--                                           --&amp;gt;&lt;br /&gt;
&amp;lt;!-- ######################################### --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
 |-&lt;br /&gt;
 ! Package   !! Language !! Inception year !! Status !! Source !! License&lt;br /&gt;
 |-&lt;br /&gt;
 | [[LensKit]]  || Java || 2011 || Active  || [https://github.com/lenskit/lenskit GitHub] || LGPLv2.1+&lt;br /&gt;
 |-&lt;br /&gt;
 | [[Mrec]] || Python || 2013 || Stale ||  [https://github.com/mendeley/mrec GitHub] || NA&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MyMediaLite]] || C# || 2011 || Active ||  [https://github.com/zenogantner/MyMediaLite GitHub] || GPL&lt;br /&gt;
 |-&lt;br /&gt;
 | [[Python-recsys]]  || Python || 2011 || Stale || [https://github.com/ocelma/python-recsys GitHub] || NA&lt;br /&gt;
 |-&lt;br /&gt;
 | [[RankSys]]   || Java || 2015 || Active || [https://github.com/ir-uam/RankSys GitHub] || GPL&lt;br /&gt;
 |-&lt;br /&gt;
 | [[RecDB]]   || PostgreSQL || 2013 || Active || [https://github.com/Sarwat/recdb-postgresql GitHub] || BSD &lt;br /&gt;
 |-&lt;br /&gt;
 | [[Recommender101]]   || Java || 2013 || Active || [http://ls13-www.cs.tu-dortmund.de/homepage/recommender101/download/recommender101.zip source zip] || custom&lt;br /&gt;
 |-&lt;br /&gt;
 | [[TagRec]]   || Java || 2014 || Active || [https://github.com/learning-layers/TagRec GitHub] || GPL&lt;br /&gt;
&lt;br /&gt;
 |}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===See also===&lt;br /&gt;
* [[Recommendation Datasets]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:Software]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=Recommendation_Software&amp;diff=2336</id>
		<title>Recommendation Software</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=Recommendation_Software&amp;diff=2336"/>
		<updated>2015-08-11T08:14:38Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Recommendations are generally provided through a self-implemented software, a machine learning package or a specific '''recommendation-focused''' software package or library. &lt;br /&gt;
&lt;br /&gt;
The table below shows a comparison of some of the more common software packages for recommendation.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- ######################################### --&amp;gt;&lt;br /&gt;
&amp;lt;!--                                           --&amp;gt;&lt;br /&gt;
&amp;lt;!-- Add new software in alphabetical order!!! --&amp;gt;&lt;br /&gt;
&amp;lt;!--                                           --&amp;gt;&lt;br /&gt;
&amp;lt;!-- ######################################### --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
 |-&lt;br /&gt;
 ! Package   !! Language !! Inception year !! Status !! Source !! License&lt;br /&gt;
 |-&lt;br /&gt;
 | [[LensKit]]  || Java || 2011 || Active  || [https://github.com/lenskit/lenskit GitHub] || LGPLv2.1+&lt;br /&gt;
 |-&lt;br /&gt;
 | [[Mrec]] || Python || 2013 || Stale ||  [https://github.com/mendeley/mrec GitHub] || NA&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MyMediaLite]] || C# || 2011 || Active ||  [https://github.com/zenogantner/MyMediaLite GitHub] || GPL&lt;br /&gt;
 |-&lt;br /&gt;
 | [[Python-recsys]]  || Python || 2011 || Stale || [https://github.com/ocelma/python-recsys GitHub] || NA&lt;br /&gt;
 |-&lt;br /&gt;
 | [[RankSys]]   || Java || 2015 || Active || [https://github.com/ir-uam/RankSys GitHub] || GPL&lt;br /&gt;
 |-&lt;br /&gt;
 | [[RecDB]]   || PostgreSQL || 2013 || Active || [https://github.com/Sarwat/recdb-postgresql GitHub] || BSD &lt;br /&gt;
 |-&lt;br /&gt;
 | [[Recommender101]]   || Java || 2013 || Active || [http://ls13-www.cs.tu-dortmund.de/homepage/recommender101/download/recommender101.zip source zip] || custom&lt;br /&gt;
 |-&lt;br /&gt;
 | [[TagRec]]   || Java || 2014 || Active || [https://github.com/learning-layers/TagRec GitHub] || GPL&lt;br /&gt;
&lt;br /&gt;
 |}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:Software]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=Main_Page&amp;diff=2335</id>
		<title>Main Page</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=Main_Page&amp;diff=2335"/>
		<updated>2015-08-06T07:01:14Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{DISPLAYTITLE:&amp;lt;span style=&amp;quot;display:none&amp;quot;&amp;gt;{{FULLPAGENAME}}&amp;lt;/span&amp;gt;}}&lt;br /&gt;
&amp;lt;div id=&amp;quot;mainpage&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
__NOTOC__&lt;br /&gt;
&amp;lt;!-- Beginning of header section --&amp;gt;&lt;br /&gt;
{|style=&amp;quot;width:100%;margin-top:+.9em;background-color:#fcfcfc;border:1px solid #ccc&amp;quot;&lt;br /&gt;
|style=&amp;quot;width:56%;color:#000&amp;quot;|&lt;br /&gt;
{|style=&amp;quot;width:100%;border:solid 0px;background:none&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
|style=&amp;quot;width:100%;text-align:center;white-space:nowrap;color:#000&amp;quot; |&lt;br /&gt;
&amp;lt;div style=&amp;quot;font-size:162%;border:none;margin: 0;padding:.1em;color:#000&amp;quot;&amp;gt;Welcome to the Recommender Systems Wiki (RecSysWiki) &amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div style=&amp;quot;top:+0.2em;font-size: 95%&amp;quot;&amp;gt;''sharing information on all aspects of [[Recommender System|Recommender Systems]]''&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div id=&amp;quot;articlecount&amp;quot; style=&amp;quot;width:100%;text-align:center;font-size:85%;&amp;quot;&amp;gt;'''{{NUMBEROFVIEWS}}''' visists to '''{{NUMBEROFPAGES}}''' pages and '''{{NUMBEROFARTICLES}}''' articles, created by [[Special:ActiveUsers|{{NUMBEROFUSERS}} users]] as of {{CURRENTDAYNAME}}, {{CURRENTMONTHNAME}} {{CURRENTDAY}}, {{CURRENTYEAR}}&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div style=&amp;quot;width:100%;text-align:center;font-size:85%;&amp;quot;&amp;gt;started on February 10th, 2011&amp;lt;/div&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
[[RecSysWiki:About|This Wiki]] is about everything related to [[Recommender System|Recommender Systems]].&lt;br /&gt;
&lt;br /&gt;
[[Special:UserLogin|Registration]] is open to anyone who wishes to contribute.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- End of header section / beginning of left-column --&amp;gt;&lt;br /&gt;
{|style=&amp;quot;border-spacing:8px;margin:0px -8px&amp;quot;&lt;br /&gt;
|class=&amp;quot;MainPageBG&amp;quot; style=&amp;quot;width:55%;border:1px solid #cef2e0;background-color:#f5fffa;vertical-align:top;color:#000&amp;quot;|&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
! &amp;lt;h2 style=&amp;quot;margin:0;background-color:#cef2e0;font-size:120%;font-weight:bold;border:1px solid #a3bfb1;text-align:left;color:#000;padding:0.2em 0.4em;&amp;quot;&amp;gt;Categories in RecSysWiki&amp;lt;/h2&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|style=&amp;quot;color:#000&amp;quot;|&amp;lt;!-- Please keep this list in alphabetical order --&amp;gt;&lt;br /&gt;
* [[:Category:API|APIs]]&lt;br /&gt;
* [[:Category:Book|Books]]&lt;br /&gt;
* [[:Category:Class|Classes]]&lt;br /&gt;
* [[:Category:Company|Companies]]&lt;br /&gt;
* [[:Category:Competition|Competitions]]&lt;br /&gt;
* [[:Category:Conference|Conferences]]&lt;br /&gt;
* [[:Category:Dataset|Datasets]]&lt;br /&gt;
* [[:Category:Educational recommender systems|Educational Recommender Systems]]&lt;br /&gt;
* [[:Category:Evaluation|Evaluation]]&lt;br /&gt;
* [[:Category:Evaluation measure|Evaluation Measures]]&lt;br /&gt;
* [[:Category:Event|Events]]&lt;br /&gt;
* [[:Category:Job offer|Job Offers]]&lt;br /&gt;
* [[:Category:Journal|Journals]]&lt;br /&gt;
* [[:Category:List|Lists]]&lt;br /&gt;
* [[:Category:Literature|Literature]]&lt;br /&gt;
* [[:Category:Method|Methods]]&lt;br /&gt;
* [[:Category:Movie recommendation|Movie Recommendation]]&lt;br /&gt;
* [[:Category:Music recommendation|Music Recommendation]]&lt;br /&gt;
* [[:Category:Paper|Papers]]&lt;br /&gt;
* [[:Category:People|People]]&lt;br /&gt;
* [[:Category:Project|Projects]]&lt;br /&gt;
* [[:Category:Research group|Research Groups]]&lt;br /&gt;
* [[:Category:Software|Software]]&lt;br /&gt;
* [[:Category:Task|Task]]&lt;br /&gt;
* [[:Category:User-centric evaluation|User-centric evaluation]]&lt;br /&gt;
* [[:Category:Workshop|Workshops]]&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|}&amp;lt;!-- Start of right-column --&amp;gt;&lt;br /&gt;
|class=&amp;quot;MainPageBG&amp;quot; style=&amp;quot;width:65%;border:1px solid #cedff2;background-color:#f5faff;vertical-align:top&amp;quot;|&lt;br /&gt;
{| width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5faff&amp;quot;&lt;br /&gt;
!&lt;br /&gt;
&amp;lt;h2 style=&amp;quot;margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;&amp;quot;&amp;gt;Information on RecSysWiki&amp;lt;/h2&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|style=&amp;quot;color:#000&amp;quot;|&amp;lt;!-- Please keep this list in alphabetical order --&amp;gt;&lt;br /&gt;
* [[:RecSysWiki:Current events| Current Events]]&lt;br /&gt;
* [[Special:Statistics|RecSysWiki statistics]]&lt;br /&gt;
* [[Special:AllPages|All pages]]&lt;br /&gt;
* [[Special:Categories|All categories]]&lt;br /&gt;
* [[Special:WantedPages|Wanted pages]]&lt;br /&gt;
* [[To Do List]] - ''please help by contributing''&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h2 style=&amp;quot;margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;&amp;quot;&amp;gt;Recent additions and updates&amp;lt;/h2&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|style=&amp;quot;color:#000&amp;quot;|&amp;lt;!-- Please keep this list ordered by date --&amp;gt;&lt;br /&gt;
&amp;lt;!-- how long should this list be? Currently it is 16 items long --&amp;gt;&lt;br /&gt;
* [[Recommendation Datasets]]   &amp;lt;!-- (2015-08-06) --&amp;gt;&lt;br /&gt;
* [[Recommendation Software]]   &amp;lt;!-- (2015-08-05) --&amp;gt;&lt;br /&gt;
* [[List of recommender systems master's theses | Master's Theses]]                      &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[TagRec]]                           &amp;lt;!-- (2015-04-09) --&amp;gt;&lt;br /&gt;
* [[CrowdRec]]                           &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[RecSysChallenge]]                    &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[LibRec]]                             &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[Test.fm]]                            &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[Okapi]]                              &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[ORP]]                                &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[RecSys-frontend]]                    &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[Dissertations]]                      &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[RiVal]]                              &amp;lt;!-- (2014-07-30) --&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
!&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:RecSys Wiki Information]]&lt;br /&gt;
&amp;lt;!-- {{#TwitterFBLike:}} --&amp;gt;&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=Recommendation_Datasets&amp;diff=2334</id>
		<title>Recommendation Datasets</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=Recommendation_Datasets&amp;diff=2334"/>
		<updated>2015-08-06T07:00:26Z</updated>

		<summary type="html">&lt;p&gt;Alan: Created page with &amp;quot;Datasets used for recommender systems research purposes come from various domains, in different sizes and with different means of expressing user actions. The table below show...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Datasets used for recommender systems research purposes come from various domains, in different sizes and with different means of expressing user actions.&lt;br /&gt;
The table below shows a comparison of some of the more common datasets for recommendation.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- ######################################### --&amp;gt;&lt;br /&gt;
&amp;lt;!--                                           --&amp;gt;&lt;br /&gt;
&amp;lt;!-- Add new datasets in alphabetical order!!! --&amp;gt;&lt;br /&gt;
&amp;lt;!--                                           --&amp;gt;&lt;br /&gt;
&amp;lt;!-- ######################################### --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
 |-&lt;br /&gt;
 ! Dataset   !! Domain !! No. of user actions !! No of users !! License&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MovieLens 100k]]  || Movies || 100 k || 1k  ||  custom&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MovieLens 1M]] || Movies || 1 M || 6k ||   custom&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MovieLens 10M]] || Movies || 10 M/100k || 72k ||   custom&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MovieLens 20M]] || Movies || 20 M/645k || 138k ||   custom&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MovieTweetings]] || Movies || 200k || 25k ||   custom&lt;br /&gt;
&lt;br /&gt;
 |}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:Dataset]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=Main_Page&amp;diff=2333</id>
		<title>Main Page</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=Main_Page&amp;diff=2333"/>
		<updated>2015-08-05T13:07:04Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{DISPLAYTITLE:&amp;lt;span style=&amp;quot;display:none&amp;quot;&amp;gt;{{FULLPAGENAME}}&amp;lt;/span&amp;gt;}}&lt;br /&gt;
&amp;lt;div id=&amp;quot;mainpage&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
__NOTOC__&lt;br /&gt;
&amp;lt;!-- Beginning of header section --&amp;gt;&lt;br /&gt;
{|style=&amp;quot;width:100%;margin-top:+.9em;background-color:#fcfcfc;border:1px solid #ccc&amp;quot;&lt;br /&gt;
|style=&amp;quot;width:56%;color:#000&amp;quot;|&lt;br /&gt;
{|style=&amp;quot;width:100%;border:solid 0px;background:none&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
|style=&amp;quot;width:100%;text-align:center;white-space:nowrap;color:#000&amp;quot; |&lt;br /&gt;
&amp;lt;div style=&amp;quot;font-size:162%;border:none;margin: 0;padding:.1em;color:#000&amp;quot;&amp;gt;Welcome to the Recommender Systems Wiki (RecSysWiki) &amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div style=&amp;quot;top:+0.2em;font-size: 95%&amp;quot;&amp;gt;''sharing information on all aspects of [[Recommender System|Recommender Systems]]''&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div id=&amp;quot;articlecount&amp;quot; style=&amp;quot;width:100%;text-align:center;font-size:85%;&amp;quot;&amp;gt;'''{{NUMBEROFVIEWS}}''' visists to '''{{NUMBEROFPAGES}}''' pages and '''{{NUMBEROFARTICLES}}''' articles, created by [[Special:ActiveUsers|{{NUMBEROFUSERS}} users]] as of {{CURRENTDAYNAME}}, {{CURRENTMONTHNAME}} {{CURRENTDAY}}, {{CURRENTYEAR}}&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div style=&amp;quot;width:100%;text-align:center;font-size:85%;&amp;quot;&amp;gt;started on February 10th, 2011&amp;lt;/div&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
[[RecSysWiki:About|This Wiki]] is about everything related to [[Recommender System|Recommender Systems]].&lt;br /&gt;
&lt;br /&gt;
[[Special:UserLogin|Registration]] is open to anyone who wishes to contribute.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- End of header section / beginning of left-column --&amp;gt;&lt;br /&gt;
{|style=&amp;quot;border-spacing:8px;margin:0px -8px&amp;quot;&lt;br /&gt;
|class=&amp;quot;MainPageBG&amp;quot; style=&amp;quot;width:55%;border:1px solid #cef2e0;background-color:#f5fffa;vertical-align:top;color:#000&amp;quot;|&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
! &amp;lt;h2 style=&amp;quot;margin:0;background-color:#cef2e0;font-size:120%;font-weight:bold;border:1px solid #a3bfb1;text-align:left;color:#000;padding:0.2em 0.4em;&amp;quot;&amp;gt;Categories in RecSysWiki&amp;lt;/h2&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|style=&amp;quot;color:#000&amp;quot;|&amp;lt;!-- Please keep this list in alphabetical order --&amp;gt;&lt;br /&gt;
* [[:Category:API|APIs]]&lt;br /&gt;
* [[:Category:Book|Books]]&lt;br /&gt;
* [[:Category:Class|Classes]]&lt;br /&gt;
* [[:Category:Company|Companies]]&lt;br /&gt;
* [[:Category:Competition|Competitions]]&lt;br /&gt;
* [[:Category:Conference|Conferences]]&lt;br /&gt;
* [[:Category:Dataset|Datasets]]&lt;br /&gt;
* [[:Category:Educational recommender systems|Educational Recommender Systems]]&lt;br /&gt;
* [[:Category:Evaluation|Evaluation]]&lt;br /&gt;
* [[:Category:Evaluation measure|Evaluation Measures]]&lt;br /&gt;
* [[:Category:Event|Events]]&lt;br /&gt;
* [[:Category:Job offer|Job Offers]]&lt;br /&gt;
* [[:Category:Journal|Journals]]&lt;br /&gt;
* [[:Category:List|Lists]]&lt;br /&gt;
* [[:Category:Literature|Literature]]&lt;br /&gt;
* [[:Category:Method|Methods]]&lt;br /&gt;
* [[:Category:Movie recommendation|Movie Recommendation]]&lt;br /&gt;
* [[:Category:Music recommendation|Music Recommendation]]&lt;br /&gt;
* [[:Category:Paper|Papers]]&lt;br /&gt;
* [[:Category:People|People]]&lt;br /&gt;
* [[:Category:Project|Projects]]&lt;br /&gt;
* [[:Category:Research group|Research Groups]]&lt;br /&gt;
* [[:Category:Software|Software]]&lt;br /&gt;
* [[:Category:Task|Task]]&lt;br /&gt;
* [[:Category:User-centric evaluation|User-centric evaluation]]&lt;br /&gt;
* [[:Category:Workshop|Workshops]]&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|}&amp;lt;!-- Start of right-column --&amp;gt;&lt;br /&gt;
|class=&amp;quot;MainPageBG&amp;quot; style=&amp;quot;width:65%;border:1px solid #cedff2;background-color:#f5faff;vertical-align:top&amp;quot;|&lt;br /&gt;
{| width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5faff&amp;quot;&lt;br /&gt;
!&lt;br /&gt;
&amp;lt;h2 style=&amp;quot;margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;&amp;quot;&amp;gt;Information on RecSysWiki&amp;lt;/h2&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|style=&amp;quot;color:#000&amp;quot;|&amp;lt;!-- Please keep this list in alphabetical order --&amp;gt;&lt;br /&gt;
* [[:RecSysWiki:Current events| Current Events]]&lt;br /&gt;
* [[Special:Statistics|RecSysWiki statistics]]&lt;br /&gt;
* [[Special:AllPages|All pages]]&lt;br /&gt;
* [[Special:Categories|All categories]]&lt;br /&gt;
* [[Special:WantedPages|Wanted pages]]&lt;br /&gt;
* [[To Do List]] - ''please help by contributing''&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h2 style=&amp;quot;margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;&amp;quot;&amp;gt;Recent additions and updates&amp;lt;/h2&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|style=&amp;quot;color:#000&amp;quot;|&amp;lt;!-- Please keep this list ordered by date --&amp;gt;&lt;br /&gt;
&amp;lt;!-- how long should this list be? Currently it is 16 items long --&amp;gt;&lt;br /&gt;
* [[Recommendation Software]]   &amp;lt;!-- (2015-08-05) --&amp;gt;&lt;br /&gt;
* [[List of recommender systems master's theses | Master's Theses]]                      &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[TagRec]]                           &amp;lt;!-- (2015-04-09) --&amp;gt;&lt;br /&gt;
* [[CrowdRec]]                           &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[RecSysChallenge]]                    &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[LibRec]]                             &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[Test.fm]]                            &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[Okapi]]                              &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[ORP]]                                &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[RecSys-frontend]]                    &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[Dissertations]]                      &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[RiVal]]                              &amp;lt;!-- (2014-07-30) --&amp;gt;&lt;br /&gt;
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[[Category:RecSys Wiki Information]]&lt;br /&gt;
&amp;lt;!-- {{#TwitterFBLike:}} --&amp;gt;&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=Recommendation_Software&amp;diff=2332</id>
		<title>Recommendation Software</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=Recommendation_Software&amp;diff=2332"/>
		<updated>2015-08-05T13:05:38Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Recommendations are generally provided through a self-implemented software, a machine learning package or a specific '''recommendation-focused''' software package or library. &lt;br /&gt;
&lt;br /&gt;
The table below shows a comparison of some of the more common software packages for recommendation.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- ######################################### --&amp;gt;&lt;br /&gt;
&amp;lt;!--                                           --&amp;gt;&lt;br /&gt;
&amp;lt;!-- Add new software in alphabetical order!!! --&amp;gt;&lt;br /&gt;
&amp;lt;!--                                           --&amp;gt;&lt;br /&gt;
&amp;lt;!-- ######################################### --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
 |-&lt;br /&gt;
 ! Package   !! Language !! Inception year !! Status !! Source !! License&lt;br /&gt;
 |-&lt;br /&gt;
 | [[LensKit]]  || Java || 2011 || Active  || [https://github.com/lenskit/lenskit GitHub] || LGPLv2.1+&lt;br /&gt;
 |-&lt;br /&gt;
 | [[Mrec]] || Python || 2013 || Stale ||  [https://github.com/mendeley/mrec GitHub] || NA&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MyMediaLite]] || C# || 2011 || Active ||  [https://github.com/zenogantner/MyMediaLite GitHub] || GPL&lt;br /&gt;
 |-&lt;br /&gt;
 | [[Python-recsys]]  || Python || 2011 || Stale || [https://github.com/ocelma/python-recsys GitHub] || NA&lt;br /&gt;
 |-&lt;br /&gt;
 | [[RankSys]]   || Java || 2015 || Active || [https://github.com/ir-uam/RankSys GitHub] || GPL&lt;br /&gt;
 |-&lt;br /&gt;
 | [[RecDB]]   || PostgreSQL || 2013 || Active || [https://github.com/Sarwat/recdb-postgresql GitHub] || BSD &lt;br /&gt;
 |-&lt;br /&gt;
 | [[Recommender101]]   || Java || 2013 || Active || [http://ls13-www.cs.tu-dortmund.de/homepage/recommender101/download/recommender101.zip source zip] || custom&lt;br /&gt;
 |-&lt;br /&gt;
 | [[TagRec]]   || Java || 2014 || Active || [https://github.com/learning-layers/TagRec GitHub] || GNU&lt;br /&gt;
&lt;br /&gt;
 |}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:Software]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=Recommendation_Software&amp;diff=2331</id>
		<title>Recommendation Software</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=Recommendation_Software&amp;diff=2331"/>
		<updated>2015-08-05T13:00:02Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Recommendations are generally provided through a self-implemented software, a machine learning package or a specific '''recommendation-focused''' software package or library. &lt;br /&gt;
&lt;br /&gt;
The table below shows a comparison of some of the more common software packages for recommendation.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- ######################################### --&amp;gt;&lt;br /&gt;
&amp;lt;!--                                           --&amp;gt;&lt;br /&gt;
&amp;lt;!-- Add new software in alphabetical order!!! --&amp;gt;&lt;br /&gt;
&amp;lt;!--                                           --&amp;gt;&lt;br /&gt;
&amp;lt;!-- ######################################### --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
 |-&lt;br /&gt;
 ! Package   !! Language !! Inception year !! Status !! Source !! License&lt;br /&gt;
 |-&lt;br /&gt;
 | [[LensKit]]  || Java || 2011 || Active  || [https://github.com/lenskit/lenskit GitHub] || LGPLv2.1+&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MyMediaLite]] || C# || 2011 || Active ||  [https://github.com/zenogantner/MyMediaLite GitHub] || GPL&lt;br /&gt;
 |-&lt;br /&gt;
 | [[Python-recsys]]  || Python || 2011 || Stale || [https://github.com/ocelma/python-recsys GitHub] || NA&lt;br /&gt;
 |-&lt;br /&gt;
 | [[RankSys]]   || Java || 2015 || Active || [https://github.com/ir-uam/RankSys GitHub] || GPL&lt;br /&gt;
 |-&lt;br /&gt;
 | [[Recommender101]]   || Java || 2013 || Active || [http://ls13-www.cs.tu-dortmund.de/homepage/recommender101/download/recommender101.zip source zip] || custom&lt;br /&gt;
 |}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:Software]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2330</id>
		<title>List of recommender system dissertations</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=List_of_recommender_system_dissertations&amp;diff=2330"/>
		<updated>2015-08-05T09:48:34Z</updated>

		<summary type="html">&lt;p&gt;Alan: /* 2014 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Recommender systems]] related '''doctoral''' dissertations by year. For other types of theses see:&lt;br /&gt;
* [[List of recommender systems master's theses]]&lt;br /&gt;
* [[List of recommender systems bachelor's theses]]&lt;br /&gt;
&lt;br /&gt;
Dissertation within a year are sorted alphabetically by title.&lt;br /&gt;
&lt;br /&gt;
=== 2015 ===&lt;br /&gt;
* [http://krex.k-state.edu/dspace/bitstream/handle/2097/19779/RohitParimi2015.pdf?sequence=6&amp;amp;isAllowed=y Collaborative Filtering Approaches for Single-domains and Cross-domain Recommender Systems] - [[Rohit Parimi]]&lt;br /&gt;
&lt;br /&gt;
* [http://ir.ii.uam.es/saul/saulvargas-thesis.pdf Novelty and Diversity Evaluation and Enhancement in Recommender Systems] - [[Saúl Vargas]]&lt;br /&gt;
&lt;br /&gt;
* [http://docear.org/papers/Towards%20Effective%20Research-Paper%20Recommender%20Systems%20and%20User%20Modeling%20based%20on%20Mind%20Maps.pdf Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Maps] - Joeran Beel&lt;br /&gt;
&lt;br /&gt;
=== 2014 ===&lt;br /&gt;
* [http://scholarlyrepository.miami.edu/cgi/viewcontent.cgi?article=2209&amp;amp;context=oa_dissertations A Model-Based Music Recommendation System for Individual Users and Implicit User Groups] - [[Yajie Hu]] &lt;br /&gt;
* [https://boa.unimib.it/retrieve/handle/10281/70560/104693/PhD_unimib_%20%09732150%20.pdf Advancing Recommender Systems from the Algorithm, Interface and Methodological Perspective] - [[Marco Rossetti]]&lt;br /&gt;
* [http://infoscience.epfl.ch/record/199806 Aggregating Information from the Crowd: ratings, recommendations and predictions] - [[Florent Garcin]]&lt;br /&gt;
* [http://wanlab.poly.edu/xiwang/doc/thesis.pdf Collaborative Filtering Based Social Recommender Systems] - [[Xiwang Yang]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/3158723 Cross-domain Recommendations based on semantically-enhanced User Web Behavior] - [[Julia Hoxha]] &lt;br /&gt;
* [http://www.win.tue.nl/ipa/?event=cryptographically-enhanced-privacy-for-recommender-systems Cryptographically-Enhanced Privacy for Recommender Systems] - [[Arjan Jeckmans]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/11299/167084 Database management system support for collaborative filtering recommender systems] - [[Mohamed Sarwat]]&lt;br /&gt;
* [http://bit.ly/simonphd Dynamic Generation of Personalized Hybrid Recommender Systems] - [[Simon Dooms]]&lt;br /&gt;
* Enhancing Discovery in Geoportals: Geo-Enrichment, Semantic Enhancement and Recommendation Strategies for Geo-Information Discovery - [[Bernhard Vockner]]&lt;br /&gt;
* [http://www.lsi.upc.edu/~vcodina/phd.pdf Exploiting Distributional Semantics for Content-Based and Context-Aware Recommendation] - [[Victor Codina]]&lt;br /&gt;
* [http://micheletrevisiol.com/data/Exploiting_Implicit_User_Activity_for_Media_Recommendation.pdf Exploiting Implicit User Activity for Media Recommendation] - [[Michele Trevisiol]]&lt;br /&gt;
* [http://arks.princeton.edu/ark:/88435/dsp01nv935299q Information Aggregation in Quantized Consensus, Recommender Systems, and Ranking] - [[Shang Shang]]&lt;br /&gt;
* [http://repository.lib.ncsu.edu/ir/bitstream/1840.16/9727/1/etd.pdf More Usable Recommendation Systems for Improving Software Quality] - [[Yoonki Song]]&lt;br /&gt;
* [http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=2550&amp;amp;context=etd Next Generation of Recommender Systems: Algorithms and Applications] - [[Lei Li]]&lt;br /&gt;
* [http://ethesis.unifr.ch/theses/downloads.php?file=TeranL.pdf SmartParticipation: A Fuzzy-Based Recommender System for Political Community-Building] - [[Luis Fernando Terán Tamayo]]&lt;br /&gt;
* [http://elehack.net/research/thesis/ Towards Recommender Engineering: Tools and Experiments for Identifying Recommender Differences] - [[Michael Ekstrand]]&lt;br /&gt;
* [http://tampub.uta.fi/bitstream/handle/10024/95965/978-951-44-9551-9.pdf User Factors in Recommender Systems: Case Studies in e-Commerce, News Recommending, and e-Learning] - [[Juha Leino]]&lt;br /&gt;
&lt;br /&gt;
=== 2013 ===&lt;br /&gt;
* [http://interactivesystems.info/publications/a-conceptual-model-and-a-software-framework-for-developing-context-aware-hybrid-recommender-systems A conceptual model and a software framework for developing context aware hybrid recommender systems] - [[Tim Hussein]]&lt;br /&gt;
* [http://shodhganga.inflibnet.ac.in/handle/10603/24399 Effective tag recommendation system based on topic ontology] - [[V Subramaniyaswamy]]&lt;br /&gt;
* [http://eprints.ucm.es/24533/ Estrategias de recomendación basadas en conocimiento para la localización personalizada de recursos en repositorios educativos] (Spanish) - [[Almudena Ruiz-Iniesta]]&lt;br /&gt;
* [http://opus4.kobv.de/opus4-tuberlin/frontdoor/index/index/docId/3681 Evaluating the Accuracy and Utility of Recommender Systems] - [[Alan Said]]&lt;br /&gt;
* [http://julian-urbano.info/publications/061-evaluation-audio-music-similarity Evaluation in Audio Music Similarity] - [[Julián Urbano]]&lt;br /&gt;
* [https://biblio.ugent.be/input/download?func=downloadFile&amp;amp;recordOId=4163727&amp;amp;fileOId=4163752 Improved online services by personalized recommendations and optimal quality of experience parameters] - [[Toon De Pessemier]]&lt;br /&gt;
* [http://hdl.handle.net/10059/859 Integrating Content and Semantic Representations for Music Recommendation] - [[Ben Horsburgh]]&lt;br /&gt;
* [http://escholarship.org/uc/item/4xw874p5#page-1 Latent feature models for dyadic prediction] - [[Aditya Krishna Menon]]&lt;br /&gt;
* [http://edok01.tib.uni-hannover.de/edoks/e01dh13/767033973.pdf Living Analytics Methods for the Social Web] - [[Ernesto Diaz-Aviles]]&lt;br /&gt;
* [http://repository.tudelft.nl/assets/uuid:f7d3977e-f191-40d4-8f27-784a32902a55/thesis_yueshi.pdf Ranking and Context-awareness in Recommender Systems] - [[Yue Shi]]&lt;br /&gt;
* [https://repositorio.uam.es/bitstream/handle/10486/14091/66095_campos%20soto%20pedro%20g..pdf Recommender Systems and Time Context: Characterization of a Robust Evaluation Protocol to Increase Reliability of Measured Improvemenets] - [[Pedro Campos]]&lt;br /&gt;
* [http://users.soe.ucsc.edu/~jwang30/index.files/dissertation-Jian.pdf Session Aware Recommender System in E-Commerce] - [[Jian Wang]]&lt;br /&gt;
* [http://doras.dcu.ie/17737/ Social contextuality and conversational recommender systems] - [[Eoin Hurrell]]&lt;br /&gt;
* [http://liris.cnrs.fr/Documents/Liris-6406.pdf Trace-Based Reasoning for User Assistance and Recommendations] - [[Raafat Zarka]]&lt;br /&gt;
* [http://kth.diva-portal.org/smash/record.jsf?pid=diva2:606503 Trust-Based User Profiling] - [[Nima Dokoohaki]]&lt;br /&gt;
* [http://scidok.sulb.uni-saarland.de/volltexte/2013/5528/pdf/Boehmer_2013_MobileApplicationUsage_low.pdf Understanding and supporting mobile application usage] - [[Matthias Böhmer]]&lt;br /&gt;
* [http://d-scholarship.pitt.edu/19733/ User Contrallability in a Hybrid Recommender System] - [[Denis Parra]]&lt;br /&gt;
&lt;br /&gt;
=== 2012 ===&lt;br /&gt;
* [http://library.epfl.ch/en/theses/?nr=5318 Design and User Perception Issues for Personality-Engaged Recommender Systems] - [[Rong Hu]]&lt;br /&gt;
* [http://www.di.uniba.it/~swap/papers/musto_thesis.pdf Enhanced Vector Space Models for Content-based Recommender Systems] - [[Cataldo Musto]]&lt;br /&gt;
* [http://dalspace.library.dal.ca/bitstream/handle/10222/14735/Lipczak,%20Marek,%20PhD,%20CS,%20March%202012.pdf?sequence=5 Hybrid Tag Recommendation in Collaborative Tagging Systems] - [[Marek Lipczak]]&lt;br /&gt;
* [http://gradworks.umi.com/35/05/3505275.html Interaction Methods for Large Scale Graph Visualization Systems --- Using Manipulation to Aid Discovery] - [[Brynjar Gretarsson]]&lt;br /&gt;
* [http://www.evazangerle.at/wp-content/papercite-data/pdf/evaphd.pdf Leveraging Recommender Systems for the Creation and Maintenance of Structure within Collaborative Social Media Platforms] - [[Eva Zangerle]]&lt;br /&gt;
* [https://eldorado.tu-dortmund.de/bitstream/2003/29661/1/Dissertation.pdf Leveraging Tagging Data for Recommender Systems] - [[Fatih Gedikli]]&lt;br /&gt;
* [http://cseweb.ucsd.edu/~bmcfee/papers/bmcfee_dissertation.pdf More like this: machine learning approaches to music similarity] - [[Brian McFee]]&lt;br /&gt;
* [http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-17249 On some Challenges for Online Trust and Reputation Systems] - [[Mozhgan Tavakolifard]]&lt;br /&gt;
* [http://www.l3s.de/~krestel/cmsimple3_2/?Publications:Others:PhD_Thesis_12 On the Use of Language Models and Topic Models in the Web: New Algorithms for Filtering, Classification, Ranking, and Recommendation] - [[Ralf Krestel]]&lt;br /&gt;
* [http://ir.ii.uam.es/~alejandro/thesis/thesis-bellogin.pdf Performance prediction and evaluation in Recommender Systems: an Information Retrieval perspective] - [[Alejandro Bellogin]]&lt;br /&gt;
* [http://eprints.qut.edu.au/59507/1/Noraswaliza_Abdullah_Thesis.pdf Integrating collaborative filtering and matching-based search for product recommendation] - [[Noraswaliza Abdullah]]&lt;br /&gt;
* [http://www.uns.ac.rs/sr/doktorske/aleksandraKlasnjaMilicevic/disertacija.pdf Personalized Recommendation Based on Collaborative Tagging Techniques for an E-learning System] - [[Aleksandra Klašnja‐Milićević]]&lt;br /&gt;
* [http://arxiv.org/pdf/1203.4487v2 Recommender systems in industrial contexts] - [[Frank Meyer]]&lt;br /&gt;
* [http://opus.bsz-bw.de/ubhi/volltexte/2012/167/pdf/item_recommendation.pdf Supervised Machine Learning Methods for Item Recommendation] - [[Zeno Gantner]]&lt;br /&gt;
* [http://gradworks.umi.com/35/23/3523081.html Understanding Consistency of Recommender Systems: Behavioral and Algorithmic Perspectives] - [[Jingjing Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2011 ===&lt;br /&gt;
* [http://users.cecs.anu.edu.au/~sguo/thesis.pdf Bayesian Recommender Systems: Models and Algorithms] - [[Shengbo Guo]]&lt;br /&gt;
* [http://www.inf.unibz.it/~lbaltrunas/doc/linas_phd_thesis.pdf Context-Aware Collaborative Filtering Recommender Systems] - [[Linas Baltrunas]]&lt;br /&gt;
* [http://benfields.net/bfields_thesis.pdf Contextualize Your Listening: The Playlist as Recommendation Engine] - [[Ben Fields]]&lt;br /&gt;
* [http://www.eric.ed.gov/ERICWebPortal/search/detailmini.jsp?_nfpb=true&amp;amp;_&amp;amp;ERICExtSearch_SearchValue_0=ED534217&amp;amp;ERICExtSearch_SearchType_0=no&amp;amp;accno=ED534217 Deployment of Recommender Systems: Operational and Strategic Issues] - [[Abhijeet Ghoshal]]&lt;br /&gt;
* [http://espace.library.uq.edu.au/view/UQ:263213 Effective and Efficient Collaborative Filtering] - [[Yi Ding]]&lt;br /&gt;
* [http://www.cse.cuhk.edu.hk/lyu/_media/students/thesisxin9.pdf Effective Fusion-based Approaches for Recommender Systems] - [[Xin Xin]]&lt;br /&gt;
* [http://www.aka-verlag.com/de/detail?ean=978-3-89838-332-5 Formal Concept Analysis and Tag Recommendations in Collaborative Tagging Systems] - [[Robert Jäschke]]&lt;br /&gt;
* [http://uclab.khu.ac.kr/resources/thesis/PhD_Thesis_Weiwei.pdf Improved Trust-Aware Recommender System using Small-Worldness of Trust Networks] - [[Weiwei Yuan]]&lt;br /&gt;
* [http://conservancy.umn.edu/handle/117321 Personalized Recommendation in Social Network Sites] - [[Jilin Chen]]&lt;br /&gt;
* [http://lac-repo-live7.is.ed.ac.uk/bitstream/1842/5770/1/Givon2011.pdf Predicting and using social tags to improve the accuracy and transparency of recommender systems] - [[Sharon Givon]]&lt;br /&gt;
* [http://slavnik.fe.uni-lj.si/markot/uploads/Main/2010_tkalcic_phd.pdf Recognition and usage of emotive parameters in recommender systems] - [[Marko Tkalčič]]&lt;br /&gt;
* [http://gradworks.umi.com/34/79/3479962.html Swarm intellilgence for clustering dynamic data sets for web usage mining and personalization] - [[Esin Saka]]&lt;br /&gt;
* [http://eprints.qut.edu.au/41879/1/Huizhi_Liang_Thesis.pdf User profiling based on folksonomy information in Web 2.0 for personalized recommender systems] - [[Huizhi Liang]]&lt;br /&gt;
* [http://eprints.qut.edu.au/49168/1/Touhid_Bhuiyan_Thesis.pdf Trust-based automated recommendation making] - [[Touhid Bhuiyan]]&lt;br /&gt;
* [http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/1687272 Using Data Mining for Facilitating User Contributions in the Social Semantic Web] - [[Maryam Ramezani]]&lt;br /&gt;
* [http://gradworks.umi.com/34/49/3449549.html Visualization of music relational information sources for analysis, navigation, and discovery] - [[Justin Donaldson]]&lt;br /&gt;
&lt;br /&gt;
=== 2010 ===&lt;br /&gt;
* [http://www.amazon.com/Domain-Independent-Framework-Intelligent-Recommendations-Application/dp/3838113756 A Domain-Independent Framework for Intelligent Recommendations] - [[Jörn David]]&lt;br /&gt;
* [http://www.cp.jku.at/people/seyerlehner/supervised/seyerlehner_phd.pdf Content-Based Music Recommender Systems: Beyond simple Frame-Level Audio Similarity] - [[Klaus Seyerlehner]]&lt;br /&gt;
* [http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-642-16897-0 Context-Aware Ranking with Factorization Models] - [[Steffen Rendle]]&lt;br /&gt;
* [http://www.cs.ucl.ac.uk/staff/n.lathia/thesis.html Evaluating Collaborative Filtering Over Time] - [[Neal Lathia]]&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2010/2695/pdf/wetzker_robert.pdf Graph-Based Recommendation in Broad Folksonomies] - [[Robert Wetzker]]&lt;br /&gt;
* [http://lib.tkk.fi/Diss/2010/isbn9789526031514/isbn9789526031514.pdf Methods and Applications for Ontology-based Recommender Systems] - [[Tuukka Ruotsalo]]&lt;br /&gt;
* [http://theses.gla.ac.uk/2132/01/2010hopfgartner1phd.pdf Personalised video retrieval: application of implicit feedback and semantic user profiles] - [[Frank Hopfgartner]]&lt;br /&gt;
* [http://www.dsc.ufcg.edu.br/~lbmarinho/homepage/pub/thesis_marinho.pdf Recommender Systems for Social Tagging Systems] - [[Leandro Balby Marinho]]&lt;br /&gt;
* [http://www.verlagdrkovac.de/3-8300-5081-X.htm Recommender Systeme für produktbegleitende Dienstleistungen] - [[Margarethe Frohs]]&lt;br /&gt;
* [http://wrap.warwick.ac.uk/3759/1/WRAP_THESIS_Li_2010.pdf Relational clustering models for knowledge discovery and recommender systems] - [[Tao Li]]&lt;br /&gt;
* [https://biblio.ugent.be/publication/986279/file/1886805.pdf Trust networks for recommender systems] - [[Patricia Victor]]&lt;br /&gt;
* [http://gradworks.umi.com/34/70/3470158.html User session and history modeling for collaborative visualization] - [[Fanhai Yang]]&lt;br /&gt;
&lt;br /&gt;
=== 2009 ===&lt;br /&gt;
* [http://opus.kobv.de/tuberlin/volltexte/2009/2245/pdf/lommatzsch_andreas.pdf Eine offene Architektur für die agentenbasierte, adaptive, personalisierte Informationsfilterung] (German) - [[Andreas Lommatzsch]]&lt;br /&gt;
* [http://www.abdn.ac.uk/~csc284/Nava%20Tintarev_PhD_Thesis_%282010%29.pdf Explaining recommendations] - [[Nava Tintarev]]&lt;br /&gt;
* [http://www.omikk.bme.hu/collections/phd/Villamosmernoki_es_Informatikai_Kar/2010/Pilaszy_Istvan/ertekezes.pdf Factorization-Based Large Scale Recommendation Algorithms] - [[István Pilászy]]&lt;br /&gt;
* [http://www.shilad.com/shilads_thesis.pdf Nurturing Tagging Communities] - [[Shilad Sen]]&lt;br /&gt;
* [http://repository.upenn.edu/dissertations/AAI3363295/ Recommender systems and market diversity] - [[Daniel M. Fleder]]&lt;br /&gt;
* [http://itlab.dbit.dk/~toine/?page_id=6 Recommender Systems for Social Bookmarking] - [[Toine Bogers]]&lt;br /&gt;
* [http://svn.egovmon.no/svn/phdgoodwin/thesis/referenceexample/MMR_thesis_afterDefense.pdf Towards Efficient Music Similarity Search, Ranking, and Recommendation] - [[Maria Magdalena Ruxanda]]&lt;br /&gt;
&lt;br /&gt;
=== 2008 ===&lt;br /&gt;
* [http://essay.utwente.nl/59711/1/MA_thesis_J_de_Wit.pdf Evaluating recommender systems : an evaluation framework to predict user satisfaction for recommender systems in an electronic programme guide context] - [[Joost de Wit]]&lt;br /&gt;
* [http://arantxa.ii.uam.es/~cantador/doc/2008/thesis08.zip Exploiting the Conceptual Space in Hybrid Recommender Systems: a Semantic-based Approach] - [[Iván Cantador]]&lt;br /&gt;
* [http://eprints.qut.edu.au/29165/2/Li-Tung_Weng_Thesis.pdf Information Enrichment for Quality Recommender Systems] - [[Li-Tung Weng]]&lt;br /&gt;
* [http://tomheath.com/thesis/html Information-seeking on the Web with Trusted Social Networks – from Theory to Systems] - [[Tom Heath]]&lt;br /&gt;
* [http://www.cs.umass.edu/~marlin/research/phd_thesis/marlin-phd-thesis.pdf Missing Data Problems in Machine Learning] - [[Benjamin Marlin]]&lt;br /&gt;
* [http://mtg.upf.edu/node/1217 Music Recommendation and Discovery in the Long Tail] - [[Òscar Celma]]&lt;br /&gt;
* [http://hal.inria.fr/docs/00/34/83/70/PDF/TeseFinal.pdf Recommender System based on Personality Traits] - [[Maria Augusta Silveira Netto Nunes]]&lt;br /&gt;
* [http://winnie.kuis.kyoto-u.ac.jp/members/yoshii/d-thesis-yoshii.pdf Studies on Hybrid Music Recommendation Using Timbral and Rhythmic Features] - [[Kazuyoshi Yoshii]]&lt;br /&gt;
* [http://www.peterlang.com/index.cfm?event=cmp.ccc.seitenstruktur.detailseiten&amp;amp;seitentyp=produkt&amp;amp;pk=56341&amp;amp;cid=367 Towards Metadata-aware Algorithms for Recommender Systems] - [[Karen H. L. Tso-Sutter]]&lt;br /&gt;
* [http://hci.epfl.ch/members/lichen/EPFL_TH4140.pdf User Decision Improvement and Trust Building in Product Recommender Systems] - [[Li Chen]]&lt;br /&gt;
&lt;br /&gt;
=== 2007 ===&lt;br /&gt;
* [http://www.ulrichpaquet.com/Papers/PhDThesis.pdf Bayesian Inference for Latent Variable Models] - [[Ulrich Paquet]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~arashid/thesis.pdf Mining Influence in Recommender Systems] - [[Al Mamunur Rashid]]&lt;br /&gt;
* [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.91.2714&amp;amp;rep=rep1&amp;amp;type=pdf Building Trustworthy Recommender Systems] - [[Sheng Zhang]]&lt;br /&gt;
&lt;br /&gt;
=== 2006 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1269509 Designing social interactions with animated avatars and speech output for product recommendation agents in electronic commerce] - [[Lingyun Qiu]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~mcnee/mcnee-thesis-preprint.pdf Meeting User Information Needs in Recommender Systems] - [[Sean McNee]]&lt;br /&gt;
&lt;br /&gt;
=== 2005 ===&lt;br /&gt;
* [http://eprints.ecs.soton.ac.uk/10692/1/wei-phd-thesis.pdf A Market-Based Approach to Recommender Systems] - [[Yan Zheng Wei]]&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=1123874 Explanet: a learning tool and hybrid recommender system for student-authored explanations] - [[Jessica Masters]]&lt;br /&gt;
* Hybrid recommendation techniques based on user profiles - [[Pasquale Lops]]&lt;br /&gt;
* [http://www.princeton.edu/~smorris/pdfs/PhD/Ozmen.pdf Information Transmission and Recommender Systems] - [[Deran Özmen]]&lt;br /&gt;
* [https://doc.telin.nl/dsweb/Get/Document-56873 Supporting People In Finding Information: Hybrid Recommender Systems and Goal-Based Structuring] - [[Mark van Setten]]&lt;br /&gt;
* [http://www.freidok.uni-freiburg.de/volltexte/1804/pdf/Thesis.pdf Towards Decentralized Recommender Systems] - [[Cai-Nicolas Ziegler]]&lt;br /&gt;
* [http://dspace.mit.edu/bitstream/handle/1721.1/31137/61184336.pdf?sequence=1 Use of Discrete Choice Models with Recommender Systems] - [[Bassam H. Chaptini]]&lt;br /&gt;
&lt;br /&gt;
=== 2004 ===&lt;br /&gt;
&lt;br /&gt;
=== 2003 ===&lt;br /&gt;
* [http://eia.udg.es/~mmontane/montaner-thesis03.pdf Collaborative recommender agents based on case-based reasoning and trust] - [[Miquel Montaner]]&lt;br /&gt;
* [https://circle.ubc.ca/bitstream/handle/2429/14933/ubc_2003-859525.pdf?sequence=1 The Impact of Internalization and Familiarity on Trust and Adoption of Recommendation Agents] - [[Sherrie Komiak]]&lt;br /&gt;
* [http://knuth.luther.edu/~bmiller/Papers/thesis.pdf Toward a Personal Recommender System] - [[Bradley N. Miller]]&lt;br /&gt;
&lt;br /&gt;
=== 2002 ===&lt;br /&gt;
* [http://dl.acm.org/citation.cfm?id=935978 Recommendation as classification and recommendation as matching: two information-centered approaches to recommendation] - [[Chumki Basu]]&lt;br /&gt;
&lt;br /&gt;
=== 2001 ===&lt;br /&gt;
* [http://www.patrickbaudisch.com/publications/2001-Baudisch-Dissertation-DynamicInformationFiltering.pdf Dynamic Information Filtering] - [[Patrick Baudisch]]&lt;br /&gt;
* [http://www.cs.uni.edu/~schafer/publications/schafer_thesis.pdf MetaLens: A Framework for Multsource Recommendations] - [[Ben Schafer]]&lt;br /&gt;
* [http://www-users.cs.umn.edu/~sarwar/thesis.ps Sparsity, scalability, and distribution in recommender systems] - [[Badrul Munir Sarwar]]&lt;br /&gt;
&lt;br /&gt;
=== 2000 ===&lt;br /&gt;
&lt;br /&gt;
=== 1999 ===&lt;br /&gt;
&lt;br /&gt;
=== 1998 ===&lt;br /&gt;
&lt;br /&gt;
=== 1997 ===&lt;br /&gt;
* Recommender Systems for Problem Solving Environments - [[Naren Ramakrishnan]]&lt;br /&gt;
&lt;br /&gt;
== External links ==&lt;br /&gt;
* [http://pampalk.at/mir-phds/ PhD Theses and Doctoral Dissertations Related to Music Information Retrieval]&lt;br /&gt;
* [http://www.mendeley.com/groups/3058301/recommender-system-dissertations/papers/ Mendeley collection of Recommender System dissertations] (based on this page)&lt;br /&gt;
&lt;br /&gt;
[[Category: List|Dissertation]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=Main_Page&amp;diff=2329</id>
		<title>Main Page</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=Main_Page&amp;diff=2329"/>
		<updated>2015-08-05T09:32:06Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{DISPLAYTITLE:&amp;lt;span style=&amp;quot;display:none&amp;quot;&amp;gt;{{FULLPAGENAME}}&amp;lt;/span&amp;gt;}}&lt;br /&gt;
&amp;lt;div id=&amp;quot;mainpage&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
__NOTOC__&lt;br /&gt;
&amp;lt;!-- Beginning of header section --&amp;gt;&lt;br /&gt;
{|style=&amp;quot;width:100%;margin-top:+.9em;background-color:#fcfcfc;border:1px solid #ccc&amp;quot;&lt;br /&gt;
|style=&amp;quot;width:56%;color:#000&amp;quot;|&lt;br /&gt;
{|style=&amp;quot;width:100%;border:solid 0px;background:none&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
|style=&amp;quot;width:100%;text-align:center;white-space:nowrap;color:#000&amp;quot; |&lt;br /&gt;
&amp;lt;div style=&amp;quot;font-size:162%;border:none;margin: 0;padding:.1em;color:#000&amp;quot;&amp;gt;Welcome to the Recommender Systems Wiki (RecSysWiki) &amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div style=&amp;quot;top:+0.2em;font-size: 95%&amp;quot;&amp;gt;''sharing information on all aspects of [[Recommender System|Recommender Systems]]''&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div id=&amp;quot;articlecount&amp;quot; style=&amp;quot;width:100%;text-align:center;font-size:85%;&amp;quot;&amp;gt;'''{{NUMBEROFVIEWS}}''' visists to '''{{NUMBEROFPAGES}}''' pages and '''{{NUMBEROFARTICLES}}''' articles, created by [[Special:ActiveUsers|{{NUMBEROFUSERS}} users]] as of {{CURRENTDAYNAME}}, {{CURRENTMONTHNAME}} {{CURRENTDAY}}, {{CURRENTYEAR}}&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div style=&amp;quot;width:100%;text-align:center;font-size:85%;&amp;quot;&amp;gt;started on February 10th, 2011&amp;lt;/div&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
[[RecSysWiki:About|This Wiki]] is about everything related to [[Recommender System|Recommender Systems]].&lt;br /&gt;
&lt;br /&gt;
[[Special:UserLogin|Registration]] is open to anyone who wishes to contribute.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- End of header section / beginning of left-column --&amp;gt;&lt;br /&gt;
{|style=&amp;quot;border-spacing:8px;margin:0px -8px&amp;quot;&lt;br /&gt;
|class=&amp;quot;MainPageBG&amp;quot; style=&amp;quot;width:55%;border:1px solid #cef2e0;background-color:#f5fffa;vertical-align:top;color:#000&amp;quot;|&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
! &amp;lt;h2 style=&amp;quot;margin:0;background-color:#cef2e0;font-size:120%;font-weight:bold;border:1px solid #a3bfb1;text-align:left;color:#000;padding:0.2em 0.4em;&amp;quot;&amp;gt;Categories in RecSysWiki&amp;lt;/h2&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|style=&amp;quot;color:#000&amp;quot;|&amp;lt;!-- Please keep this list in alphabetical order --&amp;gt;&lt;br /&gt;
* [[:Category:API|APIs]]&lt;br /&gt;
* [[:Category:Book|Books]]&lt;br /&gt;
* [[:Category:Class|Classes]]&lt;br /&gt;
* [[:Category:Company|Companies]]&lt;br /&gt;
* [[:Category:Competition|Competitions]]&lt;br /&gt;
* [[:Category:Conference|Conferences]]&lt;br /&gt;
* [[:Category:Dataset|Datasets]]&lt;br /&gt;
* [[:Category:Educational recommender systems|Educational Recommender Systems]]&lt;br /&gt;
* [[:Category:Evaluation|Evaluation]]&lt;br /&gt;
* [[:Category:Evaluation measure|Evaluation Measures]]&lt;br /&gt;
* [[:Category:Event|Events]]&lt;br /&gt;
* [[:Category:Job offer|Job Offers]]&lt;br /&gt;
* [[:Category:Journal|Journals]]&lt;br /&gt;
* [[:Category:List|Lists]]&lt;br /&gt;
* [[:Category:Literature|Literature]]&lt;br /&gt;
* [[:Category:Method|Methods]]&lt;br /&gt;
* [[:Category:Movie recommendation|Movie Recommendation]]&lt;br /&gt;
* [[:Category:Music recommendation|Music Recommendation]]&lt;br /&gt;
* [[:Category:Paper|Papers]]&lt;br /&gt;
* [[:Category:People|People]]&lt;br /&gt;
* [[:Category:Project|Projects]]&lt;br /&gt;
* [[:Category:Research group|Research Groups]]&lt;br /&gt;
* [[:Category:Software|Software]]&lt;br /&gt;
* [[:Category:Task|Task]]&lt;br /&gt;
* [[:Category:User-centric evaluation|User-centric evaluation]]&lt;br /&gt;
* [[:Category:Workshop|Workshops]]&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|}&amp;lt;!-- Start of right-column --&amp;gt;&lt;br /&gt;
|class=&amp;quot;MainPageBG&amp;quot; style=&amp;quot;width:65%;border:1px solid #cedff2;background-color:#f5faff;vertical-align:top&amp;quot;|&lt;br /&gt;
{| width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5faff&amp;quot;&lt;br /&gt;
!&lt;br /&gt;
&amp;lt;h2 style=&amp;quot;margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;&amp;quot;&amp;gt;Information on RecSysWiki&amp;lt;/h2&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|style=&amp;quot;color:#000&amp;quot;|&amp;lt;!-- Please keep this list in alphabetical order --&amp;gt;&lt;br /&gt;
* [[:RecSysWiki:Current events| Current Events]]&lt;br /&gt;
* [[Special:Statistics|RecSysWiki statistics]]&lt;br /&gt;
* [[Special:AllPages|All pages]]&lt;br /&gt;
* [[Special:Categories|All categories]]&lt;br /&gt;
* [[Special:WantedPages|Wanted pages]]&lt;br /&gt;
* [[To Do List]] - ''please help by contributing''&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h2 style=&amp;quot;margin:0;background-color:#cedff2;font-size:120%;font-weight:bold;border:1px solid #a3b0bf;text-align:left;color:#000;padding:0.2em 0.4em;&amp;quot;&amp;gt;Recent additions and updates&amp;lt;/h2&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|style=&amp;quot;color:#000&amp;quot;|&amp;lt;!-- Please keep this list ordered by date --&amp;gt;&lt;br /&gt;
&amp;lt;!-- how long should this list be? Currently it is 16 items long --&amp;gt;&lt;br /&gt;
* [[List of recommender systems master's theses | Master's Theses]]                      &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[TagRec]]                           &amp;lt;!-- (2015-04-09) --&amp;gt;&lt;br /&gt;
* [[CrowdRec]]                           &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[RecSysChallenge]]                    &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[LibRec]]                             &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[Test.fm]]                            &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[Okapi]]                              &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[ORP]]                                &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[RecSys-frontend]]                    &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[Dissertations]]                      &amp;lt;!-- (2014-09-20) --&amp;gt;&lt;br /&gt;
* [[RiVal]]                              &amp;lt;!-- (2014-07-30) --&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
!&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:RecSys Wiki Information]]&lt;br /&gt;
&amp;lt;!-- {{#TwitterFBLike:}} --&amp;gt;&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=Recommendation_Software&amp;diff=2328</id>
		<title>Recommendation Software</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=Recommendation_Software&amp;diff=2328"/>
		<updated>2015-08-05T09:13:58Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Recommendations are generally provided through a self-implemented software, a machine learning package or a specific '''recommendation-focused''' software package or library. &lt;br /&gt;
&lt;br /&gt;
The table below shows a comparison of some of the more common software packages for recommendation.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- ######################################### --&amp;gt;&lt;br /&gt;
&amp;lt;!--                                           --&amp;gt;&lt;br /&gt;
&amp;lt;!-- Add new software in alphabetical order!!! --&amp;gt;&lt;br /&gt;
&amp;lt;!--                                           --&amp;gt;&lt;br /&gt;
&amp;lt;!-- ######################################### --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
 |-&lt;br /&gt;
 ! Package   !! Language !! Inception year !! Status !! Source !! License&lt;br /&gt;
 |-&lt;br /&gt;
 | [[LensKit]]  || Java || 2011 || Active  || [https://github.com/lenskit/lenskit GitHub] || LGPLv2.1+&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MyMediaLite]] || C# || 2011 || Active ||  [https://github.com/zenogantner/MyMediaLite GitHub] || GPL&lt;br /&gt;
 |-&lt;br /&gt;
 | [[Python-recsys]]  || Python || 2011 || Stale || [https://github.com/ocelma/python-recsys GitHub] || NA&lt;br /&gt;
 |-&lt;br /&gt;
 | [[RankSys]]   || Java || 2015 || Active || [https://github.com/ir-uam/RankSys GitHub] || GPL&lt;br /&gt;
 |-&lt;br /&gt;
 | [[Recommender101]]   || Java || 2013 || Active || [http://ls13-www.cs.tu-dortmund.de/homepage/recommender101/download/recommender101.zip source zip] || custom&lt;br /&gt;
 |}&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=Recommendation_Software&amp;diff=2327</id>
		<title>Recommendation Software</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=Recommendation_Software&amp;diff=2327"/>
		<updated>2015-08-05T09:09:36Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Recommendations are generally provided through a self-implemented software, a machine learning package or a specific '''recommendation-focused''' software package or library. &lt;br /&gt;
&lt;br /&gt;
The table below shows a comparison of some of the more common software packages for recommendation.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- ######################################### --&amp;gt;&lt;br /&gt;
&amp;lt;!--                                           --&amp;gt;&lt;br /&gt;
&amp;lt;!-- Add new software in alphabetical order!!! --&amp;gt;&lt;br /&gt;
&amp;lt;!--                                           --&amp;gt;&lt;br /&gt;
&amp;lt;!-- ######################################### --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
 |-&lt;br /&gt;
 ! Package   !! Language !! Inception year !! Status !! Source&lt;br /&gt;
 |-&lt;br /&gt;
 | [[LensKit]]  || Java || 2011 || Active  || [https://github.com/lenskit/lenskit GitHub]&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MyMediaLite]] || C# || 2011 || Active ||  [https://github.com/zenogantner/MyMediaLite GitHub]&lt;br /&gt;
 |-&lt;br /&gt;
 | [[Python-recsys]]  || Python || 2011 || Stale || [https://github.com/ocelma/python-recsys GitHub]&lt;br /&gt;
 |-&lt;br /&gt;
 | [[RankSys]]   || Java || 2015 || Active || [https://github.com/ir-uam/RankSys GitHub]&lt;br /&gt;
 |-&lt;br /&gt;
 | [[Recommender101]]   || Java || 2013 || Active || [http://ls13-www.cs.tu-dortmund.de/homepage/recommender101/download/recommender101.zip source zip]&lt;br /&gt;
 |}&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=Recommendation_Software&amp;diff=2324</id>
		<title>Recommendation Software</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=Recommendation_Software&amp;diff=2324"/>
		<updated>2015-08-05T08:48:27Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Recommendations are generally provided through a self-implemented software, a machine learning package or a specific '''recommendation-focused''' software package or library. &lt;br /&gt;
&lt;br /&gt;
The table below shows a comparison of some of the more common software packages for recommendation.&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
 |-&lt;br /&gt;
 ! Package   !! Language !! Inception year !! Status !! Source&lt;br /&gt;
 |-&lt;br /&gt;
 | [[LensKit]]  || Java || 2011 || Active  || [https://github.com/lenskit/lenskit GitHub]&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MyMediaLite]] || C# || 2011 || Active ||  [https://github.com/zenogantner/MyMediaLite GitHub]&lt;br /&gt;
 |-&lt;br /&gt;
 | [[Python-recsys]]  || Python || 2011 || Stale || [https://github.com/ocelma/python-recsys GitHub]&lt;br /&gt;
 |-&lt;br /&gt;
 | [[Recommender101]]   || Java || 2013 || Active || [http://ls13-www.cs.tu-dortmund.de/homepage/recommender101/download/recommender101.zip source zip]&lt;br /&gt;
 |}&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=Recommendation_Software&amp;diff=2323</id>
		<title>Recommendation Software</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=Recommendation_Software&amp;diff=2323"/>
		<updated>2015-08-05T08:42:04Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Recommendations are generally provided through a self-implemented software, a machine learning package or a specific ```recommendation-focused``` software package or library. &lt;br /&gt;
&lt;br /&gt;
The table below shows a comparison of some of the more common software packages for recommendation.&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
 |-&lt;br /&gt;
 ! Package   !! Language !! Inception year !! Status !! Source&lt;br /&gt;
 |-&lt;br /&gt;
 | [[LensKit]]  || Java || 2011 || Active  || [https://github.com/lenskit/lenskit GitHub]&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MyMediaLite]] || C# || 2011 || Active ||  [https://github.com/zenogantner/MyMediaLite GitHub]&lt;br /&gt;
 |-&lt;br /&gt;
 | [[Python-recsys]]  || Python || 2011 || Stale || [https://github.com/ocelma/python-recsys GitHub]&lt;br /&gt;
 |-&lt;br /&gt;
 | [[Recommender101]]   || Java || 2013 || Active || [http://ls13-www.cs.tu-dortmund.de/homepage/recommender101/download/recommender101.zip source zip]&lt;br /&gt;
 |}&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=Recommendation_Software&amp;diff=2322</id>
		<title>Recommendation Software</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=Recommendation_Software&amp;diff=2322"/>
		<updated>2015-08-05T08:41:43Z</updated>

		<summary type="html">&lt;p&gt;Alan: Created page with &amp;quot;Recommendations are generally provided through a self-implemented software, a machine learning package or a specific ```recommendation-focused``` software package or library. ...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Recommendations are generally provided through a self-implemented software, a machine learning package or a specific ```recommendation-focused``` software package or library. &lt;br /&gt;
&lt;br /&gt;
The table below shows a comparison of some of the more common software packages for recommendation.&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
 |-&lt;br /&gt;
 ! Package   !! Language !! Inception year !! Status !! Source&lt;br /&gt;
 |-&lt;br /&gt;
 | [[LensKit]]  || Java || 2011 || Active  || [https://github.com/lenskit/lenskit GitHub]&lt;br /&gt;
 |-&lt;br /&gt;
 | [[MyMediaLite]] || C# || 2011 || Active ||  [https://github.com/zenogantner/MyMediaLite GitHub]&lt;br /&gt;
 |-&lt;br /&gt;
 | [[Recommender101]]   || Java || 2013 || Active || [http://ls13-www.cs.tu-dortmund.de/homepage/recommender101/download/recommender101.zip source zip]&lt;br /&gt;
 |-&lt;br /&gt;
 | [[Python-recsys]]  || Python || 2011 || Stale || [https://github.com/ocelma/python-recsys GitHub]&lt;br /&gt;
&lt;br /&gt;
 |}&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=Easyrec&amp;diff=2321</id>
		<title>Easyrec</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=Easyrec&amp;diff=2321"/>
		<updated>2015-08-05T08:09:48Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;'''Easyrec''' is an open source [[recommender system]] that aims primarily for simple integration and administration.&lt;br /&gt;
It ships as self-contained Web application with a graphical administration interface. [[User]] action tracking and delivery of recommendations are provided via [[REST]] or SOAP Web services. Recommendation algorithms are integrated through a plugin mechanism and can be added or removed at runtime.&lt;br /&gt;
&lt;br /&gt;
== Concept ==&lt;br /&gt;
&lt;br /&gt;
The main idea of EasyRec is to provide an interface between existing recommender technology and integrators, focusing on the needs of those who administer the client application.&lt;br /&gt;
Technically, EasyRec runs off-line recommender algorithms and stores the generated recommendations in a database, providing fast access to recommendations that can be arbitrarily complex to compute.&lt;br /&gt;
&lt;br /&gt;
== Administration Interface ==&lt;br /&gt;
&lt;br /&gt;
The admin application allows&lt;br /&gt;
* management of multiple client applications&lt;br /&gt;
* excluding specific items from recommendations&lt;br /&gt;
* reviewing recommendations&lt;br /&gt;
* statistics about the client application usage&lt;br /&gt;
* management of item types&lt;br /&gt;
* new in upcoming release: manual creation of item clusters e.g. for cross-selling&lt;br /&gt;
* managing recommendation algorithms (aka generator plugins)&lt;br /&gt;
&lt;br /&gt;
== Generator Plugin System ==&lt;br /&gt;
Generators plugins are wrappers around recommender implementations. They are executed on a regular basis and can be added by uploading a jar file in the admin interface. &lt;br /&gt;
Currently shipping with easyrec:&lt;br /&gt;
* [[Association rule]] miner for calculating similar items based on user actions&lt;br /&gt;
* [[Slope-One]] for creating rating-based item recommendations&lt;br /&gt;
&lt;br /&gt;
== External links ==&lt;br /&gt;
* http://easyrec.org official website&lt;br /&gt;
* [http://sourceforge.net/apps/mediawiki/easyrec/ Documentation wiki] on sourceforge&lt;br /&gt;
* [[Wikipedia: Easyrec]]&lt;br /&gt;
* [http://sat.researchstudio.at/ Researchstudio SAT] organization developing easyrec&lt;br /&gt;
&lt;br /&gt;
[[Category:Software]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=European_Conference_on_Machine_Learning_and_Principles_and_Practice_of_Knowledge_Discovery_in_Databases&amp;diff=2320</id>
		<title>European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=European_Conference_on_Machine_Learning_and_Principles_and_Practice_of_Knowledge_Discovery_in_Databases&amp;diff=2320"/>
		<updated>2015-08-03T07:11:31Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The '''European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases''' is the primary European conference on [[machine learning]]. &lt;br /&gt;
It is host event of the [[ECMLPKDD]] [[Discovery Challenge]].&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===Related pages===&lt;br /&gt;
* [[2013 ECML PKDD Discovery Challenge 2013 - Recommending Given Names]]&lt;br /&gt;
&lt;br /&gt;
===External links===&lt;br /&gt;
* [http://www.ecmlpkdd.org/ ECMLPKDD.org]&lt;br /&gt;
&lt;br /&gt;
[[Category: Conference|ECMLPKDD]]&lt;br /&gt;
[[Category: Event]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=European_Conference_on_Machine_Learning_and_Principles_and_Practice_of_Knowledge_Discovery_in_Databases&amp;diff=2319</id>
		<title>European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=European_Conference_on_Machine_Learning_and_Principles_and_Practice_of_Knowledge_Discovery_in_Databases&amp;diff=2319"/>
		<updated>2015-08-03T07:10:06Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The '''European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases''' is the primary European conference on [[machine learning]]. &lt;br /&gt;
It is host event of the [[ECMLPKDD]] [[Discovery Challenge]].&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===Related pages===&lt;br /&gt;
* [15th Discovery Challenge - Recommending Given Names]&lt;br /&gt;
&lt;br /&gt;
===External links===&lt;br /&gt;
* [http://www.ecmlpkdd.org/ ECMLPKDD.org]&lt;br /&gt;
&lt;br /&gt;
[[Category: Conference|ECMLPKDD]]&lt;br /&gt;
[[Category: Event]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=ECMLPKDD&amp;diff=2318</id>
		<title>ECMLPKDD</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=ECMLPKDD&amp;diff=2318"/>
		<updated>2015-08-03T07:09:01Z</updated>

		<summary type="html">&lt;p&gt;Alan: Redirected page to European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;#REDIRECT [[European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=European_Conference_on_Information_Retrieval&amp;diff=2317</id>
		<title>European Conference on Information Retrieval</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=European_Conference_on_Information_Retrieval&amp;diff=2317"/>
		<updated>2015-08-03T07:06:53Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The '''European Conference on Information Retrieval''' is a conference series focusing on [[IR]] research. The conference is a European counterpart to [[SIGIR]].&lt;br /&gt;
&lt;br /&gt;
===Related pages===&lt;br /&gt;
* [[34th European Conference on Information Retrieval]]&lt;br /&gt;
&lt;br /&gt;
[[Category: Conference|ECIR]]&lt;br /&gt;
[[Category: Event]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=2013_ECML_PKDD_Discovery_Challenge_2013_-_Recommending_Given_Names&amp;diff=2316</id>
		<title>2013 ECML PKDD Discovery Challenge 2013 - Recommending Given Names</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=2013_ECML_PKDD_Discovery_Challenge_2013_-_Recommending_Given_Names&amp;diff=2316"/>
		<updated>2015-08-03T07:04:11Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
&lt;br /&gt;
'''15th Discovery Challenge - Recommending Given Names''' ('''20DC13''') organized in conjunction with [http://www.ecmlpkdd2013.org/ ECML PKDD 2013], September 23rd to 27th, 2013, Prague, Czech Republic&lt;br /&gt;
&lt;br /&gt;
All over the world, future parents are facing the task of finding suitable given names for their children. This choice is influenced by different factors, such as the [[social context]], language, cultural background and especially personal taste. Typically, parents spent hours with browsing through endless lists of names, hoping to find the perfect name.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== 2nd Announcement: 20DC13 Call for Participation ==&lt;br /&gt;
&lt;br /&gt;
This year’s [[ECMLPKDD]] [[Discovery Challenge]] addresses the task of recommending given names, that is, creating a [[recommender system]] for first names. Given a set of names for which a user has shown interest in, the recommender should provide suggestions for further names. The challenge is based on actual usage data of the name search platform [http://nameling.net nameling], which attracted more than 60,000 users within less than a year. &lt;br /&gt;
&lt;br /&gt;
The task of recommending names is new and thus many approaches have the potential to yield a successful contribution. Teams of any size and background (researchers, students, etc.) are welcome alike and we are very much looking forward to your contribution and seeing you at the 20DC13 workshop!&lt;br /&gt;
&lt;br /&gt;
The challenge consists of two parts, an offline and an online challenge. In the offline challenge, participants develop a recommender that, given a set of names for which a user has shown interest in, provides as list of recommendations for that user. To win the offline challenge it is not mandatory to take part in the online challenge although all participants are welcome to integrate their recommender algorithms into the live system. &lt;br /&gt;
&lt;br /&gt;
For detailed information regarding participation, task description and access to the data please check the official [http://www.kde.cs.uni-kassel.de/ws/dc13 20DC13-Callenge-Website].&lt;br /&gt;
&lt;br /&gt;
The registration is open! First results can be compared on the leaderboard on the challenge website.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Important Deadlines &amp;amp; Dates ==&lt;br /&gt;
* Deadline for results of the offline challenge: July 1st, 2013&lt;br /&gt;
* Submission deadline for papers (offline challenge): July 8th, 2013&lt;br /&gt;
* Start of the online challenge: July 15th, 2013&lt;br /&gt;
* Workshop: Takes place during the ECML PKDD 2013 conference&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
All participants are asked to prepare papers which will be presented either as oral presentations or posters. Submissions must be written in English, following the [http://www.springer.com/computer/lncs/lncs+authors LNCS guidelines] and must not exceed 12 pages including references and figures.&lt;br /&gt;
Papers must be submitted via [https://www.easychair.org/conferences/?conf=20dc13 EasyChair]. The submissions to the workshop are elicited through an open call for papers and will undergo peer review by the program committee.&lt;br /&gt;
- All submissions must be in English.&lt;br /&gt;
- All submissions will be peer-reviewed by the Workshop’s Program Committee.&lt;br /&gt;
- Accepted Papers will be presented&lt;br /&gt;
&lt;br /&gt;
Authors of accepted papers will be invited to submit their paper for publication in the online proceedings which will appear in the [http://ceur-ws.org/ CEUR-WS] on-line proceedings series. At least one author of each accepted paper must attend the event in order to present the paper; accepted papers whose authors have not shown up at the workshop to present the paper will not be published in the proceedings.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Program Committee Co-Chairs ==&lt;br /&gt;
* [http://www.kde.cs.uni-kassel.de/doerfel Stephan Doerfel], University of Kassel&lt;br /&gt;
* [http://www.is.informatik.uni-wuerzburg.de/mitarbeiter/hotho/ Andreas Hotho], University of Würzburg&lt;br /&gt;
* [http://www.l3s.de/web/jaeschke Robert Jäschke], L3S Research Center&lt;br /&gt;
* [http://www.kde.cs.uni-kassel.de/mitzlaff Folke Mitzlaff], University of Kassel&lt;br /&gt;
* [http://www.l3s.de/web/mueller Juergen Mueller], L3S Research Center&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== External links ==&lt;br /&gt;
* [http://www.kde.cs.uni-kassel.de/ws/dc13/ Challenge Website]&lt;br /&gt;
* [https://twitter.com/20DC13 Challenge Twitter Stream]&lt;br /&gt;
* [http://nameling.net nameling]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{DEFAULTSORT:Discovery Challenge}}&lt;br /&gt;
[[Category:Competition]]&lt;br /&gt;
[[Category:Dataset]]&lt;br /&gt;
[[Category:Workshop]]&lt;br /&gt;
[[Category:Event]]&lt;br /&gt;
[[Category:Name_recommendation]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=34th_European_Conference_on_Information_Retrieval&amp;diff=2315</id>
		<title>34th European Conference on Information Retrieval</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=34th_European_Conference_on_Information_Retrieval&amp;diff=2315"/>
		<updated>2015-08-03T07:03:30Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The '''34th European Conference on Information Retrieval''' ('''ECIR2012''') will be held in Barcelona, Spain on 1-5 April 2012.&lt;br /&gt;
==Excerpt from the ECIR2012 website==&lt;br /&gt;
[[ECIR]] is the main European forum for the presentation of new research results in the field of Information Retrieval.&lt;br /&gt;
&lt;br /&gt;
== External links ==&lt;br /&gt;
*[http://ecir2012.upf.edu/ ECIR2012]&lt;br /&gt;
&lt;br /&gt;
[[Category: Conference|ECIR 2012]]&lt;br /&gt;
[[Category: Event]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=European_Conference_on_Machine_Learning_and_Principles_and_Practice_of_Knowledge_Discovery_in_Databases&amp;diff=2314</id>
		<title>European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=European_Conference_on_Machine_Learning_and_Principles_and_Practice_of_Knowledge_Discovery_in_Databases&amp;diff=2314"/>
		<updated>2015-08-03T07:03:14Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The '''European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases''' is the primary European conference on [[machine learning]]. &lt;br /&gt;
It is host event of the ECMLPKDD Discovery Challenge.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===External links===&lt;br /&gt;
* [http://www.ecmlpkdd.org/ ECMLPKDD.org]&lt;br /&gt;
&lt;br /&gt;
[[Category: Conference|ECMLPKDD]]&lt;br /&gt;
[[Category: Event]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=European_Conference_on_Machine_Learning_and_Principles_and_Practice_of_Knowledge_Discovery_in_Databases&amp;diff=2313</id>
		<title>European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=European_Conference_on_Machine_Learning_and_Principles_and_Practice_of_Knowledge_Discovery_in_Databases&amp;diff=2313"/>
		<updated>2015-08-03T07:02:23Z</updated>

		<summary type="html">&lt;p&gt;Alan: Created page with &amp;quot;The '''European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases''' is the primary European conference on machine learning.  ...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The '''European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases''' is the primary European conference on [[machine learning]]. &lt;br /&gt;
It is host event of the ECMLPKDD Discovery Challenge.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===External links===&lt;br /&gt;
* [http://www.ecmlpkdd.org/ ECMLPKDD.org]&lt;br /&gt;
&lt;br /&gt;
[[Category: Conference|ECIR]]&lt;br /&gt;
[[Category: Event]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=ECIR&amp;diff=2312</id>
		<title>ECIR</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=ECIR&amp;diff=2312"/>
		<updated>2015-08-03T06:52:14Z</updated>

		<summary type="html">&lt;p&gt;Alan: Redirected page to European Conference on Information Retrieval&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;#REDIRECT [[European Conference on Information Retrieval]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=European_Conference_on_Information_Retrieval&amp;diff=2311</id>
		<title>European Conference on Information Retrieval</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=European_Conference_on_Information_Retrieval&amp;diff=2311"/>
		<updated>2015-08-03T06:48:48Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The '''European Conference on Information Retrieval''' is a conference series focusing on [[IR]] research. The conference is a European counterpart to [[SIGIR]].&lt;br /&gt;
&lt;br /&gt;
[[Category: Conference|ECIR]]&lt;br /&gt;
[[Category: Event]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=European_Conference_on_Information_Retrieval&amp;diff=2310</id>
		<title>European Conference on Information Retrieval</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=European_Conference_on_Information_Retrieval&amp;diff=2310"/>
		<updated>2015-08-03T06:48:30Z</updated>

		<summary type="html">&lt;p&gt;Alan: Created page with &amp;quot;The '''European Conference on Information Retrieval''' is a conference series focusing on IR research. The conference is a European counterpart to SIGIR].  [[Category:...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The '''European Conference on Information Retrieval''' is a conference series focusing on [[IR]] research. The conference is a European counterpart to [[SIGIR]]].&lt;br /&gt;
&lt;br /&gt;
[[Category: Conference|ECIR]]&lt;br /&gt;
[[Category: Event]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=2013_ECML_PKDD_Discovery_Challenge_2013_-_Recommending_Given_Names&amp;diff=2309</id>
		<title>2013 ECML PKDD Discovery Challenge 2013 - Recommending Given Names</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=2013_ECML_PKDD_Discovery_Challenge_2013_-_Recommending_Given_Names&amp;diff=2309"/>
		<updated>2015-07-31T11:28:57Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
&lt;br /&gt;
'''15th Discovery Challenge - Recommending Given Names''' ('''20DC13''') organized in conjunction with [http://www.ecmlpkdd2013.org/ ECML PKDD 2013], September 23rd to 27th, 2013, Prague, Czech Republic&lt;br /&gt;
&lt;br /&gt;
All over the world, future parents are facing the task of finding suitable given names for their children. This choice is influenced by different factors, such as the [[social context]], language, cultural background and especially personal taste. Typically, parents spent hours with browsing through endless lists of names, hoping to find the perfect name.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== 2nd Announcement: 20DC13 Call for Participation ==&lt;br /&gt;
&lt;br /&gt;
This year’s [[ECML/PKDD]] [[Discovery Challenge]] addresses the task of recommending given names, that is, creating a [[recommender system]] for first names. Given a set of names for which a user has shown interest in, the recommender should provide suggestions for further names. The challenge is based on actual usage data of the name search platform [http://nameling.net nameling], which attracted more than 60,000 users within less than a year. &lt;br /&gt;
&lt;br /&gt;
The task of recommending names is new and thus many approaches have the potential to yield a successful contribution. Teams of any size and background (researchers, students, etc.) are welcome alike and we are very much looking forward to your contribution and seeing you at the 20DC13 workshop!&lt;br /&gt;
&lt;br /&gt;
The challenge consists of two parts, an offline and an online challenge. In the offline challenge, participants develop a recommender that, given a set of names for which a user has shown interest in, provides as list of recommendations for that user. To win the offline challenge it is not mandatory to take part in the online challenge although all participants are welcome to integrate their recommender algorithms into the live system. &lt;br /&gt;
&lt;br /&gt;
For detailed information regarding participation, task description and access to the data please check the official [http://www.kde.cs.uni-kassel.de/ws/dc13 20DC13-Callenge-Website].&lt;br /&gt;
&lt;br /&gt;
The registration is open! First results can be compared on the leaderboard on the challenge website.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Important Deadlines &amp;amp; Dates ==&lt;br /&gt;
* Deadline for results of the offline challenge: July 1st, 2013&lt;br /&gt;
* Submission deadline for papers (offline challenge): July 8th, 2013&lt;br /&gt;
* Start of the online challenge: July 15th, 2013&lt;br /&gt;
* Workshop: Takes place during the ECML PKDD 2013 conference&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
All participants are asked to prepare papers which will be presented either as oral presentations or posters. Submissions must be written in English, following the [http://www.springer.com/computer/lncs/lncs+authors LNCS guidelines] and must not exceed 12 pages including references and figures.&lt;br /&gt;
Papers must be submitted via [https://www.easychair.org/conferences/?conf=20dc13 EasyChair]. The submissions to the workshop are elicited through an open call for papers and will undergo peer review by the program committee.&lt;br /&gt;
- All submissions must be in English.&lt;br /&gt;
- All submissions will be peer-reviewed by the Workshop’s Program Committee.&lt;br /&gt;
- Accepted Papers will be presented&lt;br /&gt;
&lt;br /&gt;
Authors of accepted papers will be invited to submit their paper for publication in the online proceedings which will appear in the [http://ceur-ws.org/ CEUR-WS] on-line proceedings series. At least one author of each accepted paper must attend the event in order to present the paper; accepted papers whose authors have not shown up at the workshop to present the paper will not be published in the proceedings.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Program Committee Co-Chairs ==&lt;br /&gt;
* [http://www.kde.cs.uni-kassel.de/doerfel Stephan Doerfel], University of Kassel&lt;br /&gt;
* [http://www.is.informatik.uni-wuerzburg.de/mitarbeiter/hotho/ Andreas Hotho], University of Würzburg&lt;br /&gt;
* [http://www.l3s.de/web/jaeschke Robert Jäschke], L3S Research Center&lt;br /&gt;
* [http://www.kde.cs.uni-kassel.de/mitzlaff Folke Mitzlaff], University of Kassel&lt;br /&gt;
* [http://www.l3s.de/web/mueller Juergen Mueller], L3S Research Center&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== External links ==&lt;br /&gt;
* [http://www.kde.cs.uni-kassel.de/ws/dc13/ Challenge Website]&lt;br /&gt;
* [https://twitter.com/20DC13 Challenge Twitter Stream]&lt;br /&gt;
* [http://nameling.net nameling]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{DEFAULTSORT:Discovery Challenge}}&lt;br /&gt;
[[Category:Competition]]&lt;br /&gt;
[[Category:Dataset]]&lt;br /&gt;
[[Category:Workshop]]&lt;br /&gt;
[[Category:Event]]&lt;br /&gt;
[[Category:Name_recommendation]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=Julia_Hoxha&amp;diff=2308</id>
		<title>Julia Hoxha</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=Julia_Hoxha&amp;diff=2308"/>
		<updated>2015-07-31T11:26:49Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{Person&lt;br /&gt;
 |name        = Julia Hoxha&lt;br /&gt;
 |website     = http://juliahoxha.com&lt;br /&gt;
|user        = [[User:Juliahoxha]]&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
[[Category:People]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=Recommender101&amp;diff=2307</id>
		<title>Recommender101</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=Recommender101&amp;diff=2307"/>
		<updated>2015-07-31T11:22:02Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;'''Recommender101''' is a lightweight and easy-to-use [[framework]] written in Java to carry out [[offline experiments]] for [[Recommender Systems]]. It provides the user with various [[metrics]] and common [[evaluation]] strategies as well as some example recommenders and a dataset. The framework is easily extensible and allows the user to implement own recommenders and metrics.&lt;br /&gt;
&lt;br /&gt;
Implemented algorithms: [[Nearest neighbors]] (kNN), [[SlopeOne]], [[matrix factorization]] methods, [[BPR]], [[content-based filtering]] and others&lt;br /&gt;
&lt;br /&gt;
Evaluation techniques: Cross-validation; metrics include [[Precision]], [[Recall]], [[NDCG]], [[MAE]], [[RMSE]], [[AUC]], [[Gini index]] and others&lt;br /&gt;
&lt;br /&gt;
== External links ==&lt;br /&gt;
* [http://ls13-www.cs.tu-dortmund.de/homepage/recommender101 Recommender101 Homepage]&lt;br /&gt;
&lt;br /&gt;
[[Category: Java]]&lt;br /&gt;
[[Category: Software]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=TagRec&amp;diff=2306</id>
		<title>TagRec</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=TagRec&amp;diff=2306"/>
		<updated>2015-07-31T11:19:38Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Tag Recommender Benchmarking Framework ==&lt;br /&gt;
&lt;br /&gt;
''TagRec won the best poster award @ [http://ht.acm.org/ht2014/index.php?awards.poster Hypertext 2014 (HT'14) conference ]''&lt;br /&gt;
&lt;br /&gt;
The aim of '''TagRec''' is to provide the community with a simple to use, '''generic [[tag-recommender]] framework''' written in '''Java''' to evaluate novel tag-[[recommender algorithms]] with a set of well-known std. IR metrics such as [[nDCG]], [[MAP]], [[MRR]], [[Precision]] (P@k), [[Recall]] (R@k), [[F1]]-score (F1@k), [[Diversity]] (D), [[Serendipity]] (S), [[User Coverage]] (UC) and [[folksonomy]] datasets such as BibSonomy, CiteULike, LastFM, Flickr, MovieLens or Delicious and to benchmark the developed approaches against state-of-the-art tag-recommender algorithms such as MP, MP_r, MP_u, MP_u,r, CF, APR, FR, GIRP, GIRPTM, etc.&lt;br /&gt;
&lt;br /&gt;
Furthermore, it contains algorithms to process datasets (e.g., p-core pruning, leave-one-out or 80/20 splitting, LDA topic creation and create input files for other recommender frameworks).&lt;br /&gt;
&lt;br /&gt;
The software already '''contains four novel tag-recommender approaches based on cognitive science theory'''. The first one (3Layers) (Seitlinger et al, 2013) uses topic information and is based on the ALCOVE/MINERVA2 theories (Krutschke, 1992; Hintzman, 1984). The second one (BLL+C) (Kowald et al., 2014b) uses time information is based on the ACT-R theory (Anderson et al., 2004). The third one (3LT) (Kowald et al., 2015b) is a combination of the former two approaches and integrates the time component on the level of tags and topics. Finally, the fourth one (BLLac+MPr) extends the BLL+C algorithm with semantic correlations (Kowald et al., 2015a).&lt;br /&gt;
&lt;br /&gt;
Based on our latest strand of research, '''TagRec also contains algorithms for the personalized recommendation of items''' in social tagging systems. In this respect TagRec includes a novel algorithm called CIRTT (Lacic et al., 2014) that integrates tag and time information using the BLL-equation coming from the ACT-R theory (Anderson et al, 2004). Furthermore, it contains another novel item-recommender called SUSTAIN+CFu (Seitlinger et al., 2015) that improves user-based CF via integrating the addentional focus of users via the SUSTAIN model (Love et al., 2004).&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Download  ==&lt;br /&gt;
* https://github.com/learning-layers/TagRec&lt;br /&gt;
&lt;br /&gt;
== Citation ==&lt;br /&gt;
* C. Trattner, D. Kowald and E. Lacic: [http://www.christophtrattner.info/pubs/sigweb2015.pdf TagRec: Towards a Toolkit for Reproducible Evaluation and Development of Tag-Based Recommender Algorithms], ACM SIGWEB Newsletter, Spring 2015, ACM, New York, NY, USA, 2015. &lt;br /&gt;
&lt;br /&gt;
Bibtex: @article{Trattner:2015:TTT:2719943.2719946, author = {Trattner, Christoph and Kowald, Dominik and Lacic, Emanuel}, title = {TagRec: Towards a Toolkit for Reproducible Evaluation and Development of Tag-based Recommender Algorithms}, journal = {SIGWEB Newsl.}, issue_date = {Winter 2015}, year = {2015}, pages = {3:1--3:10}, numpages = {10}, publisher = {ACM}, address = {New York, NY, USA}, }&lt;br /&gt;
&lt;br /&gt;
* D. Kowald, E. Lacic, and C. Trattner. [http://www.christophtrattner.info/pubs/ht241-kowald.pdf Tagrec: Towards a standardized tag recommender benchmarking framework]. In Proceedings of the 25th ACM Conference on Hypertext and Social Media, HT'14, New York, NY, USA, 2014. ACM.&lt;br /&gt;
&lt;br /&gt;
Bibtex: @inproceedings{Kowald2014TagRec, author = {Kowald, Dominik and Lacic, Emanuel and Trattner, Christoph}, title = {TagRec: Towards A Standardized Tag Recommender Benchmarking Framework}, booktitle = {Proceedings of the 25th ACM Conference on Hypertext and Social Media}, series = {HT '14}, year = {2014}, isbn = {978-1-4503-2263-8}, location = {Santiago de Chile, Chile}, publisher = {ACM}, address = {New York, NY, USA}, }&lt;br /&gt;
&lt;br /&gt;
== Literature ==&lt;br /&gt;
* P. Seitlinger, D. Kowald, S. Kopeinik, I. Hasani-Mavriqi, T. Ley, and Elisabeth Lex: Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics. Under review. 2015.&lt;br /&gt;
* D. Kowald, S. Kopeinik, P. Seitinger, T. Ley, D. Albert, and C. Trattner: [http://www.christophtrattner.info/pubs/msm7_kowald.pdf Refining Frequency-Based Tag Reuse Predictions by Means of Time and Semantic Context]. In Mining, Modeling, and Recommending 'Things' in Social Media, Lecture Notes in Computer Science, Vol. 8940, Springer, 2015a.&lt;br /&gt;
* D. Kowald, P. Seitinger, S. Kopeinik, T. Ley, and C. Trattner: [http://www.christophtrattner.info/pubs/msm8_kowald.pdf Forgetting the Words but Remembering the Meaning: Modeling Forgetting in a Verbal and Semantic Tag Recommender]. In Mining, Modeling, and Recommending 'Things' in Social Media, Lecture Notes in Computer Science, Vol. 8940, Springer, 2015b.&lt;br /&gt;
* D. Kowald, P. Seitlinger, C. Trattner, and T. Ley. [http://arxiv.org/abs/1312.5111 Long Time No See: The Probability of Reusing Tags as a Function of Frequency and Recency]. In Proceedings of the 23rd international conference on World Wide Web Companion, WWW '14, ACM, New York, NY, USA, 2014.&lt;br /&gt;
* E. Lacic, D. Kowald, P. Seitlinger, C. Trattner, and D. Parra. [http://www.christophtrattner.info/pubs/sp2014.pdf Recommending Items in Social Tagging Systems Using Tag and Time Information]. In Proceedings of the 1st Social Personalization Workshop co-located with the 25th ACM Conference on Hypertext and Social Media, HT'14, ACM, New York, NY, USA, 2014.&lt;br /&gt;
* P. Seitlinger, D. Kowald, C. Trattner, and T. Ley.: [http://www.christophtrattner.info/pubs/cikm2013.pdf Recommending Tags with a Model of Human Categorization]. In Proceedings of The ACM International Conference on Information and Knowledge Management (CIKM 2013), ACM, New York, NY, USA, 2013.&lt;br /&gt;
* A. Hotho, R. Jäschke, C. Schmitz, and G. Stumme. Information retrieval in folksonomies: Search and ranking. In The semantic web: research and applications, pages 411–426. Springer, 2006.&lt;br /&gt;
* L. Zhang, J. Tang, and M. Zhang. Integrating temporal usage pattern into personalized tag prediction. In Web Technologies and Applications, pages 354–365. Springer, 2012.&lt;br /&gt;
* R. Jäschke, L. Marinho, A. Hotho, L. Schmidt-Thieme, and G. Stumme. Tag recommendations in folksonomies. In Knowledge Discovery in Databases: PKDD 2007, pages 506–514. Springer, 2007.&lt;br /&gt;
* R. Krestel, P. Fankhauser, and W. Nejdl. Latent dirichlet allocation for tag recommendation. In Proceedings of the third ACM conference on Recommender systems, pages 61–68. ACM, 2009.&lt;br /&gt;
* J. R. Anderson, M. D. Byrne, S. Douglass, C. Lebiere, and Y. Qin. An integrated theory of the mind. Psychological Review, 111(4):1036–1050, 2004.&lt;br /&gt;
* J. K. Kruschke et al. Alcove: An exemplar-based connectionist model of category learning. Psychological review, 99(1):22–44, 1992.&lt;br /&gt;
* D. L Hintzman. Minerva 2: A simulation model of human memory. Behavior Research Methods, Instruments, &amp;amp; Computers 16 (2), 96–101, 1984.&lt;br /&gt;
* N. Zheng and Q. Li. A recommender system based on tag and time information for social tagging systems. Expert Syst. Appl., 2011.&lt;br /&gt;
* C.-L. Huang, P.-H. Yeh, C.-W. Lin, and D.-C. Wu. Utilizing user tag-based interests in recommender systems for social resource sharing websites. Knowledge-Based Systems, 2014.&lt;br /&gt;
* B. C. Love, D. L. Medin, and T. M. Gureckis. Sustain: A network model of category learning. Psychological review, 111(2):309, 2004.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category: Java]]&lt;br /&gt;
[[Category: Software]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=TagRec&amp;diff=2305</id>
		<title>TagRec</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=TagRec&amp;diff=2305"/>
		<updated>2015-07-31T11:18:21Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Tag Recommender Benchmarking Framework ==&lt;br /&gt;
&lt;br /&gt;
''TagRec won the best poster award @ Hypertext 2014 (HT'14) conference:'' http://ht.acm.org/ht2014/index.php?awards.poster&lt;br /&gt;
&lt;br /&gt;
The aim of '''TagRec''' is to provide the community with a simple to use, '''generic [[tag-recommender]] framework''' written in '''Java''' to evaluate novel tag-[[recommender algorithms]] with a set of well-known std. IR metrics such as [[nDCG]], [[MAP]], [[MRR]], [[Precision]] (P@k), [[Recall]] (R@k), [[F1]]-score (F1@k), [[Diversity]] (D), [[Serendipity]] (S), [[User Coverage]] (UC) and [[folksonomy]] datasets such as BibSonomy, CiteULike, LastFM, Flickr, MovieLens or Delicious and to benchmark the developed approaches against state-of-the-art tag-recommender algorithms such as MP, MP_r, MP_u, MP_u,r, CF, APR, FR, GIRP, GIRPTM, etc.&lt;br /&gt;
&lt;br /&gt;
Furthermore, it contains algorithms to process datasets (e.g., p-core pruning, leave-one-out or 80/20 splitting, LDA topic creation and create input files for other recommender frameworks).&lt;br /&gt;
&lt;br /&gt;
The software already '''contains four novel tag-recommender approaches based on cognitive science theory'''. The first one (3Layers) (Seitlinger et al, 2013) uses topic information and is based on the ALCOVE/MINERVA2 theories (Krutschke, 1992; Hintzman, 1984). The second one (BLL+C) (Kowald et al., 2014b) uses time information is based on the ACT-R theory (Anderson et al., 2004). The third one (3LT) (Kowald et al., 2015b) is a combination of the former two approaches and integrates the time component on the level of tags and topics. Finally, the fourth one (BLLac+MPr) extends the BLL+C algorithm with semantic correlations (Kowald et al., 2015a).&lt;br /&gt;
&lt;br /&gt;
Based on our latest strand of research, '''TagRec also contains algorithms for the personalized recommendation of items''' in social tagging systems. In this respect TagRec includes a novel algorithm called CIRTT (Lacic et al., 2014) that integrates tag and time information using the BLL-equation coming from the ACT-R theory (Anderson et al, 2004). Furthermore, it contains another novel item-recommender called SUSTAIN+CFu (Seitlinger et al., 2015) that improves user-based CF via integrating the addentional focus of users via the SUSTAIN model (Love et al., 2004).&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Download  ==&lt;br /&gt;
* https://github.com/learning-layers/TagRec&lt;br /&gt;
&lt;br /&gt;
== Citation ==&lt;br /&gt;
* C. Trattner, D. Kowald and E. Lacic: [http://www.christophtrattner.info/pubs/sigweb2015.pdf TagRec: Towards a Toolkit for Reproducible Evaluation and Development of Tag-Based Recommender Algorithms], ACM SIGWEB Newsletter, Spring 2015, ACM, New York, NY, USA, 2015. &lt;br /&gt;
&lt;br /&gt;
Bibtex: @article{Trattner:2015:TTT:2719943.2719946, author = {Trattner, Christoph and Kowald, Dominik and Lacic, Emanuel}, title = {TagRec: Towards a Toolkit for Reproducible Evaluation and Development of Tag-based Recommender Algorithms}, journal = {SIGWEB Newsl.}, issue_date = {Winter 2015}, year = {2015}, pages = {3:1--3:10}, numpages = {10}, publisher = {ACM}, address = {New York, NY, USA}, }&lt;br /&gt;
&lt;br /&gt;
* D. Kowald, E. Lacic, and C. Trattner. [http://www.christophtrattner.info/pubs/ht241-kowald.pdf Tagrec: Towards a standardized tag recommender benchmarking framework]. In Proceedings of the 25th ACM Conference on Hypertext and Social Media, HT'14, New York, NY, USA, 2014. ACM.&lt;br /&gt;
&lt;br /&gt;
Bibtex: @inproceedings{Kowald2014TagRec, author = {Kowald, Dominik and Lacic, Emanuel and Trattner, Christoph}, title = {TagRec: Towards A Standardized Tag Recommender Benchmarking Framework}, booktitle = {Proceedings of the 25th ACM Conference on Hypertext and Social Media}, series = {HT '14}, year = {2014}, isbn = {978-1-4503-2263-8}, location = {Santiago de Chile, Chile}, publisher = {ACM}, address = {New York, NY, USA}, }&lt;br /&gt;
&lt;br /&gt;
== Literature ==&lt;br /&gt;
* P. Seitlinger, D. Kowald, S. Kopeinik, I. Hasani-Mavriqi, T. Ley, and Elisabeth Lex: Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics. Under review. 2015.&lt;br /&gt;
* D. Kowald, S. Kopeinik, P. Seitinger, T. Ley, D. Albert, and C. Trattner: [http://www.christophtrattner.info/pubs/msm7_kowald.pdf Refining Frequency-Based Tag Reuse Predictions by Means of Time and Semantic Context]. In Mining, Modeling, and Recommending 'Things' in Social Media, Lecture Notes in Computer Science, Vol. 8940, Springer, 2015a.&lt;br /&gt;
* D. Kowald, P. Seitinger, S. Kopeinik, T. Ley, and C. Trattner: [http://www.christophtrattner.info/pubs/msm8_kowald.pdf Forgetting the Words but Remembering the Meaning: Modeling Forgetting in a Verbal and Semantic Tag Recommender]. In Mining, Modeling, and Recommending 'Things' in Social Media, Lecture Notes in Computer Science, Vol. 8940, Springer, 2015b.&lt;br /&gt;
* D. Kowald, P. Seitlinger, C. Trattner, and T. Ley. [http://arxiv.org/abs/1312.5111 Long Time No See: The Probability of Reusing Tags as a Function of Frequency and Recency]. In Proceedings of the 23rd international conference on World Wide Web Companion, WWW '14, ACM, New York, NY, USA, 2014.&lt;br /&gt;
* E. Lacic, D. Kowald, P. Seitlinger, C. Trattner, and D. Parra. [http://www.christophtrattner.info/pubs/sp2014.pdf Recommending Items in Social Tagging Systems Using Tag and Time Information]. In Proceedings of the 1st Social Personalization Workshop co-located with the 25th ACM Conference on Hypertext and Social Media, HT'14, ACM, New York, NY, USA, 2014.&lt;br /&gt;
* P. Seitlinger, D. Kowald, C. Trattner, and T. Ley.: [http://www.christophtrattner.info/pubs/cikm2013.pdf Recommending Tags with a Model of Human Categorization]. In Proceedings of The ACM International Conference on Information and Knowledge Management (CIKM 2013), ACM, New York, NY, USA, 2013.&lt;br /&gt;
* A. Hotho, R. Jäschke, C. Schmitz, and G. Stumme. Information retrieval in folksonomies: Search and ranking. In The semantic web: research and applications, pages 411–426. Springer, 2006.&lt;br /&gt;
* L. Zhang, J. Tang, and M. Zhang. Integrating temporal usage pattern into personalized tag prediction. In Web Technologies and Applications, pages 354–365. Springer, 2012.&lt;br /&gt;
* R. Jäschke, L. Marinho, A. Hotho, L. Schmidt-Thieme, and G. Stumme. Tag recommendations in folksonomies. In Knowledge Discovery in Databases: PKDD 2007, pages 506–514. Springer, 2007.&lt;br /&gt;
* R. Krestel, P. Fankhauser, and W. Nejdl. Latent dirichlet allocation for tag recommendation. In Proceedings of the third ACM conference on Recommender systems, pages 61–68. ACM, 2009.&lt;br /&gt;
* J. R. Anderson, M. D. Byrne, S. Douglass, C. Lebiere, and Y. Qin. An integrated theory of the mind. Psychological Review, 111(4):1036–1050, 2004.&lt;br /&gt;
* J. K. Kruschke et al. Alcove: An exemplar-based connectionist model of category learning. Psychological review, 99(1):22–44, 1992.&lt;br /&gt;
* D. L Hintzman. Minerva 2: A simulation model of human memory. Behavior Research Methods, Instruments, &amp;amp; Computers 16 (2), 96–101, 1984.&lt;br /&gt;
* N. Zheng and Q. Li. A recommender system based on tag and time information for social tagging systems. Expert Syst. Appl., 2011.&lt;br /&gt;
* C.-L. Huang, P.-H. Yeh, C.-W. Lin, and D.-C. Wu. Utilizing user tag-based interests in recommender systems for social resource sharing websites. Knowledge-Based Systems, 2014.&lt;br /&gt;
* B. C. Love, D. L. Medin, and T. M. Gureckis. Sustain: A network model of category learning. Psychological review, 111(2):309, 2004.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category: Java]]&lt;br /&gt;
[[Category: Software]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=TagRec&amp;diff=2304</id>
		<title>TagRec</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=TagRec&amp;diff=2304"/>
		<updated>2015-07-31T11:17:31Z</updated>

		<summary type="html">&lt;p&gt;Alan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Tag Recommender Benchmarking Framework ==&lt;br /&gt;
&lt;br /&gt;
''TagRec won the best poster award @ Hypertext 2014 (HT'14) conference:'' http://ht.acm.org/ht2014/index.php?awards.poster&lt;br /&gt;
&lt;br /&gt;
The aim of '''TagRec''' is to provide the community with a simple to use, '''generic [[tag-recommender]] framework''' written in '''Java''' to evaluate novel tag-[[recommender algorithms]] with a set of well-known std. IR metrics such as [[nDCG]], [[MAP]], [[MRR]], [[Precision]] (P@k), [[Recall]] (R@k), [[F1]]-score (F1@k), [[Diversity]] (D), [[Serendipity]] (S), [[User Coverage]] (UC) and [[folksonomy]] datasets such as BibSonomy, CiteULike, LastFM, Flickr, MovieLens or Delicious and to benchmark the developed approaches against state-of-the-art tag-recommender algorithms such as MP, MP_r, MP_u, MP_u,r, CF, APR, FR, GIRP, GIRPTM, etc.&lt;br /&gt;
&lt;br /&gt;
Furthermore, it contains algorithms to process datasets (e.g., p-core pruning, leave-one-out or 80/20 splitting, LDA topic creation and create input files for other recommender frameworks).&lt;br /&gt;
&lt;br /&gt;
The software already '''contains four novel tag-recommender approaches based on cognitive science theory'''. The first one (3Layers) (Seitlinger et al, 2013) uses topic information and is based on the ALCOVE/MINERVA2 theories (Krutschke, 1992; Hintzman, 1984). The second one (BLL+C) (Kowald et al., 2014b) uses time information is based on the ACT-R theory (Anderson et al., 2004). The third one (3LT) (Kowald et al., 2015b) is a combination of the former two approaches and integrates the time component on the level of tags and topics. Finally, the fourth one (BLLac+MPr) extends the BLL+C algorithm with semantic correlations (Kowald et al., 2015a).&lt;br /&gt;
&lt;br /&gt;
Based on our latest strand of research, '''TagRec also contains algorithms for the personalized recommendation of items''' in social tagging systems. In this respect TagRec includes a novel algorithm called CIRTT (Lacic et al., 2014) that integrates tag and time information using the BLL-equation coming from the ACT-R theory (Anderson et al, 2004). Furthermore, it contains another novel item-recommender called SUSTAIN+CFu (Seitlinger et al., 2015) that improves user-based CF via integrating the addentional focus of users via the SUSTAIN model (Love et al., 2004).&lt;br /&gt;
RiVal specifically focuses on transparency and reproducibility.&lt;br /&gt;
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== Download  ==&lt;br /&gt;
* https://github.com/learning-layers/TagRec&lt;br /&gt;
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== Citation ==&lt;br /&gt;
* C. Trattner, D. Kowald and E. Lacic: [http://www.christophtrattner.info/pubs/sigweb2015.pdf TagRec: Towards a Toolkit for Reproducible Evaluation and Development of Tag-Based Recommender Algorithms], ACM SIGWEB Newsletter, Spring 2015, ACM, New York, NY, USA, 2015. &lt;br /&gt;
&lt;br /&gt;
Bibtex: @article{Trattner:2015:TTT:2719943.2719946, author = {Trattner, Christoph and Kowald, Dominik and Lacic, Emanuel}, title = {TagRec: Towards a Toolkit for Reproducible Evaluation and Development of Tag-based Recommender Algorithms}, journal = {SIGWEB Newsl.}, issue_date = {Winter 2015}, year = {2015}, pages = {3:1--3:10}, numpages = {10}, publisher = {ACM}, address = {New York, NY, USA}, }&lt;br /&gt;
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* D. Kowald, E. Lacic, and C. Trattner. [http://www.christophtrattner.info/pubs/ht241-kowald.pdf Tagrec: Towards a standardized tag recommender benchmarking framework]. In Proceedings of the 25th ACM Conference on Hypertext and Social Media, HT'14, New York, NY, USA, 2014. ACM.&lt;br /&gt;
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Bibtex: @inproceedings{Kowald2014TagRec, author = {Kowald, Dominik and Lacic, Emanuel and Trattner, Christoph}, title = {TagRec: Towards A Standardized Tag Recommender Benchmarking Framework}, booktitle = {Proceedings of the 25th ACM Conference on Hypertext and Social Media}, series = {HT '14}, year = {2014}, isbn = {978-1-4503-2263-8}, location = {Santiago de Chile, Chile}, publisher = {ACM}, address = {New York, NY, USA}, }&lt;br /&gt;
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== Literature ==&lt;br /&gt;
* P. Seitlinger, D. Kowald, S. Kopeinik, I. Hasani-Mavriqi, T. Ley, and Elisabeth Lex: Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics. Under review. 2015.&lt;br /&gt;
* D. Kowald, S. Kopeinik, P. Seitinger, T. Ley, D. Albert, and C. Trattner: [http://www.christophtrattner.info/pubs/msm7_kowald.pdf Refining Frequency-Based Tag Reuse Predictions by Means of Time and Semantic Context]. In Mining, Modeling, and Recommending 'Things' in Social Media, Lecture Notes in Computer Science, Vol. 8940, Springer, 2015a.&lt;br /&gt;
* D. Kowald, P. Seitinger, S. Kopeinik, T. Ley, and C. Trattner: [http://www.christophtrattner.info/pubs/msm8_kowald.pdf Forgetting the Words but Remembering the Meaning: Modeling Forgetting in a Verbal and Semantic Tag Recommender]. In Mining, Modeling, and Recommending 'Things' in Social Media, Lecture Notes in Computer Science, Vol. 8940, Springer, 2015b.&lt;br /&gt;
* D. Kowald, P. Seitlinger, C. Trattner, and T. Ley. [http://arxiv.org/abs/1312.5111 Long Time No See: The Probability of Reusing Tags as a Function of Frequency and Recency]. In Proceedings of the 23rd international conference on World Wide Web Companion, WWW '14, ACM, New York, NY, USA, 2014.&lt;br /&gt;
* E. Lacic, D. Kowald, P. Seitlinger, C. Trattner, and D. Parra. [http://www.christophtrattner.info/pubs/sp2014.pdf Recommending Items in Social Tagging Systems Using Tag and Time Information]. In Proceedings of the 1st Social Personalization Workshop co-located with the 25th ACM Conference on Hypertext and Social Media, HT'14, ACM, New York, NY, USA, 2014.&lt;br /&gt;
* P. Seitlinger, D. Kowald, C. Trattner, and T. Ley.: [http://www.christophtrattner.info/pubs/cikm2013.pdf Recommending Tags with a Model of Human Categorization]. In Proceedings of The ACM International Conference on Information and Knowledge Management (CIKM 2013), ACM, New York, NY, USA, 2013.&lt;br /&gt;
* A. Hotho, R. Jäschke, C. Schmitz, and G. Stumme. Information retrieval in folksonomies: Search and ranking. In The semantic web: research and applications, pages 411–426. Springer, 2006.&lt;br /&gt;
* L. Zhang, J. Tang, and M. Zhang. Integrating temporal usage pattern into personalized tag prediction. In Web Technologies and Applications, pages 354–365. Springer, 2012.&lt;br /&gt;
* R. Jäschke, L. Marinho, A. Hotho, L. Schmidt-Thieme, and G. Stumme. Tag recommendations in folksonomies. In Knowledge Discovery in Databases: PKDD 2007, pages 506–514. Springer, 2007.&lt;br /&gt;
* R. Krestel, P. Fankhauser, and W. Nejdl. Latent dirichlet allocation for tag recommendation. In Proceedings of the third ACM conference on Recommender systems, pages 61–68. ACM, 2009.&lt;br /&gt;
* J. R. Anderson, M. D. Byrne, S. Douglass, C. Lebiere, and Y. Qin. An integrated theory of the mind. Psychological Review, 111(4):1036–1050, 2004.&lt;br /&gt;
* J. K. Kruschke et al. Alcove: An exemplar-based connectionist model of category learning. Psychological review, 99(1):22–44, 1992.&lt;br /&gt;
* D. L Hintzman. Minerva 2: A simulation model of human memory. Behavior Research Methods, Instruments, &amp;amp; Computers 16 (2), 96–101, 1984.&lt;br /&gt;
* N. Zheng and Q. Li. A recommender system based on tag and time information for social tagging systems. Expert Syst. Appl., 2011.&lt;br /&gt;
* C.-L. Huang, P.-H. Yeh, C.-W. Lin, and D.-C. Wu. Utilizing user tag-based interests in recommender systems for social resource sharing websites. Knowledge-Based Systems, 2014.&lt;br /&gt;
* B. C. Love, D. L. Medin, and T. M. Gureckis. Sustain: A network model of category learning. Psychological review, 111(2):309, 2004.&lt;br /&gt;
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[[Category: Java]]&lt;br /&gt;
[[Category: Software]]&lt;/div&gt;</summary>
		<author><name>Alan</name></author>
		
	</entry>
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