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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ASJC Scopus subject areas
- Management Information Systems
- Hardware and Architecture
これを引用
Query expansion based on predictive algorithms for collaborative filtering. / Hoashi, K.; Matsumoto, K.; Inoue, N.; Hashimoto, Kazuo.
：: SIGIR Forum (ACM Special Interest Group on Information Retrieval), 2001, p. 414-415.研究成果: Article
}
TY - JOUR
T1 - Query expansion based on predictive algorithms for collaborative filtering
AU - Hoashi, K.
AU - Matsumoto, K.
AU - Inoue, N.
AU - Hashimoto, Kazuo
PY - 2001
Y1 - 2001
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0034799975&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0034799975&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:0034799975
SP - 414
EP - 415
JO - SIGIR Forum (ACM Special Interest Group on Information Retrieval)
JF - SIGIR Forum (ACM Special Interest Group on Information Retrieval)
SN - 0163-5840
ER -