Journal of Jilin University Science Edition

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User Trust Relationship Discrimination Based onSubjective Bayes Method

WANG Bo, WANG Junhua, ZUO Wanli   

  1. College of Computer Science and Technology, Jilin University, Changchun 130012, China
  • Received:2015-07-07 Online:2016-07-26 Published:2016-07-20
  • Contact: ZUO Wanli E-mail:wanli@mail.jlu.edu.cn

Abstract:

Based on subjective Bayes method, we predicted user trust relation in social networks. The method utilized the existing trust relationships and rating relationships between users, took a rating record from user to another user as evidence and calculated the quantity representation of “trust” and “distrust” by merging the evidences based on a rule set obtained by supervised learning, thus predicting and spreading the trust relationship among users by using multi-valued logic method. The comparative experimental result shows that the proposed method can solve the usertrustprediction problem in social networks with high accuracy.

Key words: trust relationship, subjective Bayes method, social network, uncertainty reasoning

CLC Number: 

  • TP301.6