Query expansion based on predictive algorithms for collaborative filtering

K. Hoashi, K. Matsumoto, N. Inoue, Kazuo Hashimoto

研究成果: Article

5 引用 (Scopus)

抄録

A novel query expansion method based on predictive algorithms used for collaborative filtering was proposed. Query-document was considered as a measure to select the relevant document set and as an element of term weight calculation to improve retrieval performance. Collaborative filtering was used to predict the votes of a particular user from a database of user votes of other users. The object of predictive algorithms for collaborative filtering was to predict the values of empty elements of the active user.

元の言語English
ページ(範囲)414-415
ページ数2
ジャーナルSIGIR Forum (ACM Special Interest Group on Information Retrieval)
出版物ステータスPublished - 2001
外部発表Yes

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Collaborative filtering
Query expansion
Vote

ASJC Scopus subject areas

  • Management Information Systems
  • Hardware and Architecture

これを引用

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