Fuzzy collaborative filtering with multiple agents

Automated collaborative filtering has become a popular technique for reducing information overload. We have developed a new method for recommending items using multiple agents. The agents were established by employing the fuzzy C-means clustering technique. We employ these agents collaborating each...

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Bibliographic Details
Published inJournal of Shanghai University Vol. 11; no. 3; pp. 290 - 295
Main Authors Huang, Qin-Hua, Ouyang, Wei-Min
Format Journal Article
LanguageChinese
Published 01.06.2007
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Summary:Automated collaborative filtering has become a popular technique for reducing information overload. We have developed a new method for recommending items using multiple agents. The agents were established by employing the fuzzy C-means clustering technique. We employ these agents collaborating each other to get recommendation for users. The results were evaluated by using MovieLens movie's rating data. It is shown that the algorithm is an effective metrics in collaborative filtering.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:1007-6417
DOI:10.1007/s11741-007-0321-2