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 9 → 2001 9 13 |
ASJC Scopus subject areas
- Management Information Systems
- Hardware and Architecture
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これを引用
Hoashi, K., Matsumoto, K., Inoue, N., & Hashimoto, K. (2001). Query expansion based on predictive algorithms for collaborative filtering. SIGIR Forum (ACM Special Interest Group on Information Retrieval), 414-415.