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Seven Factors in Evaluating Recommender System
Kang, LT (Kang, Liting); Wang, Y (Wang, Yong)
First AuthorKang, LT (Kang, Liting)
Conference Name4th International Conference on Mechanical Science and Technology (ICMSE 2014)
Correspondent ;
Source PublicationApplied Mechanics and Materials
Conference DateJAN 02-04, 2014
Conference PlaceSanya, PEOPLES R CHINA

Recommender system (RS) has been evaluated in many but incomparable ways beyond accuracy and thus proposing an evaluation framework to synthesize the existing strategies seems a solution. However, few scholars did it so far. Through literature review, user interview and expert assessment, this study proposed a theoretical evaluation model of RS and then formed the assessment tool, RS Evaluation Questionnaire (RSE). The results showed that RSE was an effective tool to evaluate a recommender system, with its reliability (Cronbach's alpha=0.803) and validity meeting the requirements of psychometrics. Seven factors such as Perceived Quality and Perceived Ease of Use were generated by factor analysis, accounting for 63.126% of the variance. Furthermore, regression analysis indicated that different combinations of RSE factors could significantly predict User Satisfaction, Reuse Intention and positive Word-Of-Mouth (WOM) spreading willingness. Enlightenments for future research and practice were discussed as well in the end.

KeywordPersonalized Recommender System User-centered Evaluation Psychometric Questionnaire User Interview
Document Type会议论文
AffiliationChinese Acad Sci, Inst Psychol, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Kang, LT ,Wang, Y . Seven Factors in Evaluating Recommender System[C],2014:443-449.
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