Query expansion based on predictive algorithms for collaborative filtering

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

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

6 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)414-415
Number of pages2
JournalSIGIR Forum (ACM Special Interest Group on Information Retrieval)
Publication statusPublished - 2001
Externally publishedYes
Event24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval - New Orleans, LA, United States
Duration: 2001 Sept 92001 Sept 13

ASJC Scopus subject areas

  • Management Information Systems
  • Hardware and Architecture


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