Art

J-GLOBAL ID：200902275723902500   Reference number：06A0765340

Information filtering. Recommender system-Solving the problem of information overload.

情報のフィルタリング 推薦システム-情報過多時代をのりきる

Author (1)： KAMISHIMA TOSHIHIRO (産業技術総合研)
Material： 情報の科学と技術  (Journal of Information Science and Technology Association)
Volume： 56  Issue： 10  Page： 452-457  Publication year： Oct. 01, 2006 
JST Material Number： F0178A  ISSN： 0913-3801  Document type： Article
Article type： 解説  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *information service ,...
Semi thesaurus term： clustering analysis ,...

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JST classification (2)： Other information processing  (JE15050M) ,  Data protection  (JD01020V)

Reference (6)：

• 1) BREESE J. S. Empirical analysis of predictive algorithms for collaborative filtering. Uncertainty in Artificial Intelligence. (1998) vol.14, p.43-52.
• 2) KAMISHIMA T. Nantonac collaborative filtering : Recommendation based on order responses. Proc. of The 9th Int'l Conf. on Knowledge Discovery and Data Mining, 2003. (2003)
• 3) SCHAFER J. B. E-commerce recommendation applications. Data Mining and Knowledge Discovery. (2001) vol.5, p.115-153. doi:10.1023/A:1009804230409
• 4) HERLOCKER J. L. Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst.. (2004) vol.22, p.5-53. doi:10.1145/963770.963772
• 5) RESNICK P. GroupLens : an open architecture for collaborative filtering of netnews. Proc. of ACM Conf. on Computer Supported Cooperative Work, 1994. ACM. (1994) p.175-186.

Terms in the title (2)： フィルタリング ,  推薦システム