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《Computer Engineering》 2006-12
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A Personalization Recommendation Method Based on Fuzzy Cluster

ZHANG Haiyan1,GU Feng1,JIANG Lihong2(1.Institute of Mathematics and Computer,Ningxia University,Yinchuan 750021;2.Department of Computer Science and Engineering,Shanghai Jiaotong University,Shanghai 200030)  
This paper presents a new recommendation method,which combines the similar relation in attributes and characters of items to user-based collaborative filtering recommendation algorithm by fuzzy clustering algorithm.The method transforms the users' preferences of single item to similar groups,which forms the dense preferences of users-fuzzy cluster.Then this method predicts item ratings that users have not rated by the similarity of items in similar groups.Finally this method realizes the user-based collaborative filtering recommendation algorithm based on the above steps.The experimental results show that this method can provide better recommendation results than traditional user-based collaborative filtering recommendation algorithm.
【CateGory Index】: TP393.092
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【Co-citations】
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