Seven Factors in Evaluating Recommender System | |
Kang, LT (Kang, Liting); Wang, Y (Wang, Yong) | |
2014 | |
通讯作者邮箱 | [email protected] ; [email protected] |
会议名称 | 4th International Conference on Mechanical Science and Technology (ICMSE 2014) |
会议录名称 | Applied Mechanics and Materials |
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. |
条目包含的文件 | 条目无相关文件。 |
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