Query expansion based on predictive algorithms for collaborative filtering

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

*この研究の対応する著者

研究成果: Conference article査読

6 被引用数 (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.

本文言語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)
出版ステータスPublished - 2001 1 1
外部発表はい
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

  • 管理情報システム
  • ハードウェアとアーキテクチャ

フィンガープリント

「Query expansion based on predictive algorithms for collaborative filtering」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル