›› 2015, Vol. 27 ›› Issue (12): 50-56.

• 经济与金融管理 • 上一篇    下一篇

基于P2P模式的C2C信用评价方法研究

张朝辉, 梁慧, 褚美玲   

  1. 吉林大学商学院, 长春 130061
  • 收稿日期:2013-09-06 出版日期:2015-12-30 发布日期:2015-12-25
  • 作者简介:张朝辉,吉林大学商学院副教授,硕士生导师,博士;梁慧,吉林大学商学院硕士研究生;褚美玲,吉林大学商学院硕士研究生。
  • 基金资助:

    教育部人文社会科学重点研究基地重大项目(2009JJD790017)。

Research on P2P-Based C2C Credit Evaluation Method

Zhang Chaohui, Liang Hui, Chu Meiling   

  1. Business School, Jilin University, Changchun 130061
  • Received:2013-09-06 Online:2015-12-30 Published:2015-12-25

摘要:

在我国,随着C2C购物模式的推广和普及,如何避免恶意评价对公平交易造成的伤害成为一个必须面对的问题。目前国内外已形成了一些信用评价机制和技术手段,但在公允性、真实性及全面性方面仍存在不足之处。对此本文在现有P2P模型的基础上进行了改进,给出基于P2P理论的信用评价模型。针对恶意评价可能出现的欺骗、合谋、诋毁等多种情况,本文选取MATLAB作为仿真工具,通过仿真实验和对比分析,证明新模型在抵抗恶意买家的恶意差评攻击、抵御恶意交易者或团队的合谋行为以及鉴别交易者是否诚信方面有效。

关键词: C2C, 恶意评价, 信用评价模型

Abstract:

With the promotion and popularization of C2C shopping method, how toprotect fair trade from being hurt by malicious comments on needs to be addressed. Currently some credit evaluation mechanisms and techniques have come into being in China, but problems exist in fairness, authenticity and comprehensiveness. This paper proposes an improved credit evaluation model based on P2P model. In view of the fraud, conspiracy, slander and other problems that hide behind malicious comments, we select MATLAB as simulation tool to make a simulation experiment and a comparative analysis. The result proves that the new model is effective in resisting malicious attack by malicious buyers, resisting collusive behavior of malicious traders or teamers and determining whether a trader is honest.

Key words: C2C, malicious evaluation, credit evaluation model