文章基本信息

标题：Community-based Collaborative Filtering Recommendation Algorithm
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作者：Xiaofang Ding ; Zhixiao Wang ; Shaoda Chen 等
期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2015
卷号：8
期号：2
页码：149-158
DOI：10.14257/ijhit.2015.8.2.13
出版社：SERSC
摘要：Collaborative filtering recommendation technology is by far the most widely used and successful personalized recommendation technology. However, the method currently faced with some problems such as sparse matrix, affecting the accuracy of the predicted results. This paper puts forward a new community detection algorithm based on topological potential theory, and combines it with collaborative filtering recommendation algorithm. The users with similar interests are put into the same community. When searching for the user's nearest neighbor, it target to the users in a specific community or several communities instead of all users, which narrows the search and improves the prediction accuracy. Experimental results suggest that this approach effectively reduces the impact on the prediction accuracy of the sparse matrix, and significantly improves the prediction ability and recommendation quality.
关键词：community divide; collaborative filtering; recommendation; topology potential