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Seven Factors in Evaluating Recommender System
Kang, LT (Kang, Liting); Wang, Y (Wang, Yong)
第一作者Kang, LT (Kang, Liting)
2014
会议名称4th International Conference on Mechanical Science and Technology (ICMSE 2014)
通讯作者邮箱kanglt@psych.ac.cn ; wangy@psych.ac.cn
会议录名称Applied Mechanics and Materials
卷号472
期号不详
页码443-449
会议日期JAN 02-04, 2014
会议地点Sanya, PEOPLES R CHINA
摘要

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.

关键词Personalized Recommender System User-centered Evaluation Psychometric Questionnaire User Interview
语种英语
文献类型会议论文
条目标识符http://ir.psych.ac.cn/handle/311026/26582
专题社会与工程心理学研究室
作者单位Chinese Acad Sci, Inst Psychol, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Kang, LT ,Wang, Y . Seven Factors in Evaluating Recommender System[C],2014:443-449.
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