Personalized Recommendation Based on Implicit Social Network of Researchers

In this paper we discuss the importance of social network of researchers for personalized recommendation of researchers and papers. We begin by briefly describing collaborative filtering method for personalized recommendation and its cold start problem of the new uses. We present the related studies which have used social network information to provide personalized recommendation. Then, we introduce our original method of extracting implicit social network of researchers from the published papers and paper recommendation algorithm. We test the presented algorithm on real world datasets from Chinese social network site. The result indicates the advantage of recommendation based on implicit social network.

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