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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/71378
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/71378


    Title: Recommendation Mechanism Based on Multi-attribute Utility Theory
    Authors: 楊亨利
    Yang,Heng-Li;Yang, Hsiao-Fang
    Contributors: 資管系
    Keywords: Recommender Mechanism;Multi-attribute Utility Function;Conjoint Analysis
    Date: 2011.03
    Issue Date: 2014-11-13 15:08:49 (UTC+8)
    Abstract: Traditionally, both content-based filtering and collaborative filtering assumes that users are simply affected by their past purchasing experience. In this study, we propose a recommender system to estimate user’s utility function based on the multi-attribute utility theory, and then to recommend the items to the user. This study explored the case of recommending mobile phones. The results show that most of users were satisfied. Therefore, the integration of recommender systems with utility function can help people to find the suitable items.
    Relation: International Journal of Digital Content Technology and its Applications, 5(3), 373-382
    Data Type: article
    Appears in Collections:[資訊管理學系] 期刊論文

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