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基于多代理的模糊协同过滤

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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 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.

collaborative filteringmultiple agentsfuzzy C-means

黄芹华、欧阳为民

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School of Computer Engineering and Science,Shanghai University,Shanghai 200072,P.R.China

collaborative filtering multiple agents fuzzy C-means

国家自然科学基金

69975001

2007

上海大学学报(英文版)
上海大学

上海大学学报(英文版)

影响因子:0.196
ISSN:1007-6417
年,卷(期):2007.11(3)
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