Abstract
Trust is part of the main problems in the development of C2C e-commerce. Calculating the value of reputation based on feedback rating is an effective way to create trust in e-commerce transactions. This paper proposes a computing model built on the reputation of e-commerce by introducing a feedback score, the transaction value, time, penalty factor and other parameters. Simulation results demonstrate that the model can effectively prevent the credibility of slander, reputation hype, reputation conspiracy and other issues.
Publisher
Trans Tech Publications, Ltd.
Reference7 articles.
1. W.T.L. Teacy, J. Patel, N.R. Jennings, et. Trevor: Trust and reputation in the context of inaccurate information sources[J]. Autonomous Agents and Multi-Agent Systems, 12(2) , 183–198, (2006).
2. Khambatti M, Dasgupta P, Ryu KD. A role-based trust model for peer-to-peer communities and dynamic coalitions[C]. The 2nd IEEE Int'l Information Assurance Workshop, Charlotte, IEEE Computer Society, 2004: 141-154.
3. Yu Yi-jiao, Jin Hai. A survey on overcoming free riding in peer-to-peer networks[J]. Chinese Journal of Computers, 2008, (01) : 1-15. doi: 10. 3321/j. issn: 0254-4164. 2008. 01. 001.
4. GUO Honghai JIANG Jinhu CAI Han. Modeling for Reputation Computingin C2C communities. Chinese Journal of Management. (2009).
5. http: /service. taobao. com/support/knowledge-1125162. html.