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W. Li, “A history and honest recommendation based trust model in peer-to-peer Networks [D],” Hunan University, pp. 28–29, September 2007.

has been cited by the following article:

  • TITLE: Research on the Trust Model Based on the Groups’ Internal Recommendation in E-Commerce Environment

    AUTHORS: Nan REN, Qin LI

    KEYWORDS: E-commerce, Groups, Internal Recommendation, the Credibility Value

    JOURNAL NAME: Journal of Software Engineering and Applications, Vol.2 No.4, November 27, 2009

    ABSTRACT: The trust plays an extremely important role in online shopping. In order to make online shopping trusty, this paper puts foreword a new trust model in e-commerce environment GIR-TM (Groups’ Internal Recommendation Trust Model). First, it regarded the network as a combination of groups, and then did the internal recommendation based on these groups. The GIR-TM, in the process of recommendation, distinguished clearly between the trust degrees of recommen-dation node and the trust degrees of recommended node, and then calculated the integrated credibility value of the recommended node according to the weight of recommendation node in the group, the partial trust degree and the de-gree of recommendation when the recommendation node recommends the recommended node, and the overall credibil-ity value of recommended node as well. Lastly through listing the experimental data and comparing with the HHRB-TM (History and Honest Recommendation Based Trust Model) on the same condition, it is verified that GIR-TM is feasible and effective.