Fuzzy collaborative filtering with multiple agents  

作　　者：黄芹华 欧阳为民 

机构地区：[1]School of Computer Engineering and Science, Shanghai University, Shanghai 200072, P. R. China

出　　处：《Journal of Shanghai University(English Edition)》2007年第3期290-295,共6页上海大学学报（英文版）

基　　金：Project supported by the National Natural Science Foundation of China （Grant No.69975001）

摘　　要：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.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.

关 键 词：collaborative filtering multiple agents fuzzy C-means 

分 类 号：O159[理学—数学]