Query expansion based on predictive algorithms for collaborative filtering

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

研究成果: Conference article

5 引用 (Scopus)

抜粋

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 1 1
外部発表Yes
イベント24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval - New Orleans, LA, United States
継続期間: 2001 9 92001 9 13

ASJC Scopus subject areas

  • Management Information Systems
  • Hardware and Architecture

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