Art

J-GLOBAL ID：200902276459725757   Reference number：08A0067219

Implementation and Evaluation of a Movie Recommender System Considering both Users’ Personality and Situation

ユーザ嗜好の個人差と状況差を考慮した映画推薦システムの実現と評価

Author (4)： ONO CHIHIRO (KDDI研究所) ,  KUROKAWA MORI (KDDI研究所) ,  MOTOMURA YOICHI (産業技術総合研) ,  ASO HIDEKI (産業技術総合研)
Material： 情報処理学会論文誌  (IPSJ Journal)
Volume： 49  Issue： 1  Page： 130-140  Publication year： Jan. 15, 2008 
JST Material Number： Z0778A  ISSN： 0387-5806  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *cinema ,...
Semi thesaurus term： liking ,...

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JST classification (3)： Movie  (ZA04050E) ,  Other information processing  (JE15050M) ,  Man-machine system  (IB03000G)

Reference (27)：

• Adomavicius, G. and Tuzhilin, A.: Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions, IEEE Trans. Knowledge and Data Engineering, Vol.17, No.6, pp. 734-749(2005).
• Basilico, J. and Hofmann, T.: Unifying collaborative and content-based filtering, Proc.21st Int. Conf. on Machine Learning (2004).
• Basu, C., Hirsh, H. and Cohen, W. W.: Recommendation as classification: Using social and content-based information in recommendation, Proc.15th National Conference on Artificial Intelligence, Madison, WI, pp. 714-720 (July 1998).
• Binder, J., Koller, D., Russell, S. and Kanazawa, K.: Adaptive probabilistic net works with hidden variables, Machine Learning, Vol.29, pp. 213-244(1997).
• Breese, J. S., Heckerman, D. and Kadie, C.: Empirical analysis of predictive algorithms for collaborative filtering, Proc.14th Annual Conference on Uncertainty in Artificial Intelligence, pp. 43-52(1998).

Terms in the title (6)： 嗜好 ,  個人差 ,  状況 ,  映画 ,  推薦システム ,  評価