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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Published in | Journal of Shanghai University Vol. 11; no. 3; pp. 290 - 295 |
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Main Authors | , |
Format | Journal Article |
Language | Chinese |
Published |
01.06.2007
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Online Access | Get full text |
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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. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 content type line 23 ObjectType-Feature-1 |
ISSN: | 1007-6417 |
DOI: | 10.1007/s11741-007-0321-2 |