Category:User-centric evaluation - Revision history

Usabart at 04:44, 1 March 2011

2011-03-01T04:44:59Z

Usabart at 04:44, 1 March 2011

2011-03-01T04:44:36Z

Usabart at 04:27, 1 March 2011

2011-03-01T04:27:58Z

Usabart at 02:57, 1 March 2011

2011-03-01T02:57:12Z

Usabart at 02:56, 1 March 2011

2011-03-01T02:56:32Z

Usabart: Created page with "Whereas originally the field of recommender systems heavily focused on offline evaluation, recently awareness has grown that the usability and user experience of recommen..."

2011-03-01T02:46:58Z

Created page with "Whereas originally the field of recommender systems heavily focused on offline evaluation, recently awareness has grown that the usability and user experience of recommen..."

New page

Whereas originally the field of recommender systems heavily focused on offline evaluation, recently awareness has grown that the [[usability]] and [[user experience]] of recommender systems should be tested in online evaluations with real users. User-centric evaluation methods can be broadly categorized into [[qualitative user-studies]] and [[quantitative user experiments or field trials]]. User studies typically combine [[objective evaluation measures]] with [[subjective evaluation measures]], typically in the form of [[design critiques]], [[interviews]], and [[questionnaires]].

[[Category:Evaluation]]

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 Whereas originally the field of recommender systems heavily focused on offline evaluation, recently awareness has grown that the [[usability]] and [[user experience]] of recommender systems should be tested in online evaluations with real users. User-centric evaluation methods can be broadly categorized into [[qualitative user-studies]] and [[quantitative user experiments or field trials]]. User studies typically combine [[objective evaluation measures]] with [[subjective evaluation measures]], typically in the form of [[design critiques]], [[interviews]], and [[questionnaires]].
-User-centric evaluation has had difficulties gaining popularity as an evaluation method, because it is often difficult to test new algorithms or systems with real users. Early examples in the recommender systems literature have been of [[Paper:Swearingen & Sinha (2001), Beyond Algorithms: An HCI Perspective on Recommender Systems|questionable quality. There have been a few suggestions for [[Standardization of user-centric evaluation|standardization]] and [[Simplifying user-centric evaluation|simplification]] of the user-centric evaluation process.
+User-centric evaluation has had difficulties gaining popularity as an evaluation method, because it is often difficult to test new algorithms or systems with real users. Early examples in the recommender systems literature have been of [[Paper:Swearingen & Sinha (2001), Beyond Algorithms: An HCI Perspective on Recommender Systems|questionable quality]]. There have been a few suggestions for [[Standardization of user-centric evaluation|standardization]] and [[Simplifying user-centric evaluation|simplification]] of the user-centric evaluation process.
 [[Category:Evaluation]]

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 Whereas originally the field of recommender systems heavily focused on offline evaluation, recently awareness has grown that the [[usability]] and [[user experience]] of recommender systems should be tested in online evaluations with real users. User-centric evaluation methods can be broadly categorized into [[qualitative user-studies]] and [[quantitative user experiments or field trials]]. User studies typically combine [[objective evaluation measures]] with [[subjective evaluation measures]], typically in the form of [[design critiques]], [[interviews]], and [[questionnaires]].
-User-centric evaluation has had difficulties gaining popularity as an evaluation method, because it is often difficult to test new algorithms or systems with real users. Early examples in the recommender systems literature have been of questionable quality. There have been a few suggestions for [[Standardization of user-centric evaluation|standardization]] and [[Simplifying user-centric evaluation|simplification]] of the user-centric evaluation process.
+User-centric evaluation has had difficulties gaining popularity as an evaluation method, because it is often difficult to test new algorithms or systems with real users. Early examples in the recommender systems literature have been of [[Paper:Swearingen & Sinha (2001), Beyond Algorithms: An HCI Perspective on Recommender Systems|questionable quality. There have been a few suggestions for [[Standardization of user-centric evaluation|standardization]] and [[Simplifying user-centric evaluation|simplification]] of the user-centric evaluation process.
 [[Category:Evaluation]]

@@ Line 1: / Line 1: @@
 Whereas originally the field of recommender systems heavily focused on offline evaluation, recently awareness has grown that the [[usability]] and [[user experience]] of recommender systems should be tested in online evaluations with real users. User-centric evaluation methods can be broadly categorized into [[qualitative user-studies]] and [[quantitative user experiments or field trials]]. User studies typically combine [[objective evaluation measures]] with [[subjective evaluation measures]], typically in the form of [[design critiques]], [[interviews]], and [[questionnaires]].
-User-centric evaluation has had difficulties gaining popularity as an evaluation method, because it is often difficult to test new algorithms or systems with real users. Early examples in the recommender systems literature have been of questionable quality. There have been a few suggestions for [[Standardization of user-centric evaluation metrics|standardization]] and [[Simplifying user-centric evaluation|simplification]] of the user-centric evaluation process.
+User-centric evaluation has had difficulties gaining popularity as an evaluation method, because it is often difficult to test new algorithms or systems with real users. Early examples in the recommender systems literature have been of questionable quality. There have been a few suggestions for [[Standardization of user-centric evaluation|standardization]] and [[Simplifying user-centric evaluation|simplification]] of the user-centric evaluation process.
 [[Category:Evaluation]]

@@ Line 1: / Line 1: @@
 Whereas originally the field of recommender systems heavily focused on offline evaluation, recently awareness has grown that the [[usability]] and [[user experience]] of recommender systems should be tested in online evaluations with real users. User-centric evaluation methods can be broadly categorized into [[qualitative user-studies]] and [[quantitative user experiments or field trials]]. User studies typically combine [[objective evaluation measures]] with [[subjective evaluation measures]], typically in the form of [[design critiques]], [[interviews]], and [[questionnaires]].
-User-centric evaluation has had difficulties gaining popularity as an evaluation method, because it is often difficult to test new algorithms or systems with real users. Early examples in the recommender systems literature have been of questionable quality. There have been a few suggestions for [[standardization|Standardization of user-centric evaluation metrics]] and [[simplification|Simplifying user-centric evaluation] of the user-centric evaluation process.
+User-centric evaluation has had difficulties gaining popularity as an evaluation method, because it is often difficult to test new algorithms or systems with real users. Early examples in the recommender systems literature have been of questionable quality. There have been a few suggestions for [[Standardization of user-centric evaluation metrics|standardization]] and [[Simplifying user-centric evaluation|simplification]] of the user-centric evaluation process.
 [[Category:Evaluation]]

← Older revision		Revision as of 02:56, 1 March 2011
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	Whereas originally the field of recommender systems heavily focused on offline evaluation, recently awareness has grown that the [[usability]] and [[user experience]] of recommender systems should be tested in online evaluations with real users. User-centric evaluation methods can be broadly categorized into [[qualitative user-studies]] and [[quantitative user experiments or field trials]]. User studies typically combine [[objective evaluation measures]] with [[subjective evaluation measures]], typically in the form of [[design critiques]], [[interviews]], and [[questionnaires]].		Whereas originally the field of recommender systems heavily focused on offline evaluation, recently awareness has grown that the [[usability]] and [[user experience]] of recommender systems should be tested in online evaluations with real users. User-centric evaluation methods can be broadly categorized into [[qualitative user-studies]] and [[quantitative user experiments or field trials]]. User studies typically combine [[objective evaluation measures]] with [[subjective evaluation measures]], typically in the form of [[design critiques]], [[interviews]], and [[questionnaires]].
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		+	User-centric evaluation has had difficulties gaining popularity as an evaluation method, because it is often difficult to test new algorithms or systems with real users. Early examples in the recommender systems literature have been of questionable quality. There have been a few suggestions for [[standardization\|Standardization of user-centric evaluation metrics]] and [[simplification\|Simplifying user-centric evaluation] of the user-centric evaluation process.


	[[Category:Evaluation]]		[[Category:Evaluation]]