A Bayes-Based Method for Trust Valuation in Electronic Commerce

摘要：

With the development of the Internet, electronic commerce has shown a rapid increase, in the open dynamic Internet how to establish a complete model for trust valuation, objectively representing the credits of trading parties and improving the security of online trade, has become the key issue. To solve the problem of behavior credit in e-trade, this paper presents a trust valuation method based on the behavior pattern showed in the process of e-trade. With this method, a Bayesian model for assessment is presented, composed of nodes of behavior pattern matching levels and nodes of credibility attributes; and the grade of the consumption credit index and that of the sale credit index can be inferred. The effectiveness of this method has been verified by an actual electronic trading platform.

关键词： trust valuation electronic commerce trade behavior behavior pattern

作者: Zhibing Wang Changyun Li Junfeng Man

作者单位: School of Computer and CommunicationHunan University of Technology Zhuzhou 412008, China

会议类型: 国际会议

会议名称: 2010 Third International Symposium on Knowledge Acquisition and Modeling(第三届知识获取与建模国际研讨会 KAN 2010)

会议地点: 武汉

会议语种:英文

页码: 202-205

在线出版日期: 2010-10-20（万方平台首次上网日期，不代表论文的发表时间）