Network for users in the community in the face of a flood of information and resources, how to quickly and easily access content of interest issue, a Kinds of community-based web content personalized recommendation algorithm. Users get the same interest in the cluster, based on the algorithm begins with the user access log information Information content of recommended items similar to mining, and mining based on user interest in new content recommended items. Experimental results show that the algorithm not only improve the content recommended Accuracy, and extend the content coverage.

基于社区网络内容的个性化推荐算法研究.pdf

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