TY - JOUR
T1 - Query expansion based on predictive algorithms for collaborative filtering
AU - Hoashi, K.
AU - Matsumoto, K.
AU - Inoue, N.
AU - Hashimoto, K.
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
U2 - 10.1145/383952.384063
DO - 10.1145/383952.384063
M3 - Conference 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
T2 - 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Y2 - 9 September 2001 through 13 September 2001
ER -