吉林大学学报(理学版)

• 计算机科学 • 上一篇    下一篇

基于主观Bayes方法的用户信任关系判别

王泊, 王俊华, 左万利   

  1. 吉林大学 计算机科学与技术学院, 长春 130012
  • 收稿日期:2015-07-07 出版日期:2016-07-26 发布日期:2016-07-20
  • 通讯作者: 左万利 E-mail:wanli@mail.jlu.edu.cn

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

摘要:

基于主观Bayes方法的信任关系判别方法, 对社会网络中的用户信任关系进行预测. 该方法综合利用现有的信任关系以及用户之间的评分关系, 以用户对另一用户的评分记录为证据, 基于监督学习得到的规则集, 通过证据合取产生对“信任”和“不信任”的量化表示, 利用多值逻辑方法推测并传播用户之间的信任关系. 对比实验结果表明, 该方法能以较高的准确率解决社会网络中的用户信任关系预测问题.

关键词: 信任关系, 主观Bayes方法, 社会网络, 不确定性推理

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

中图分类号: 

  • TP301.6