Personalized recommendation based on implicit social network of researchers

Authors:
Cheng Chen;Chengjie Mao;Yong Tang;Guohua Chen;Jinjia Zheng
Affiliations:
School of Computer Science, South China Normal University, Guangzhou, China;School of Computer Science, South China Normal University, Guangzhou, China;School of Computer Science, South China Normal University, Guangzhou, China;School of Computer Science, South China Normal University, Guangzhou, China, School of Mathematical Science, South China Normal University, Guangzhou, China;School of Computer Science, South China Normal University, Guangzhou, China
Venue:
ICPCA/SWS'12 Proceedings of the 2012 international conference on Pervasive Computing and the Networked World
Year:
2012

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Abstract

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.