基于主观Bayes方法的用户信任关系判别  

User Trust Relationship Discrimination Based on Subjective Bayes Method

作　　者：王泊[1] 王俊华[1] 左万利[1] 

机构地区：[1]吉林大学计算机科学与技术学院,长春130012

出　　处：《吉林大学学报（理学版）》2016年第4期813-820,共8页Journal of Jilin University:Science Edition

基　　金：国家自然科学基金(批准号:60973040)

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.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.

关 键 词：信任关系 主观BAYES方法 社会网络 不确定性推理 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]