Modeling for Reputation Computing Research Base on C2C Communities

Xin Kao Liao; Li Sheng Wang; Ke Te Wang; Xiao Jie Xu

doi:10.4028/www.scientific.net/AMM.740.839

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 740Modeling for Reputation Computing Research Base on...

Modeling for Reputation Computing Research Base on C2C Communities

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.

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Periodical:

Applied Mechanics and Materials (Volume 740)

Pages:

839-842

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.740.839

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Online since:

March 2015

Authors:

Xin Kao Liao*, Li Sheng Wang, Ke Te Wang, Xiao Jie Xu

Keywords:

C2C, E-Commerce, Incentive Mechanism, Trusted Computing

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* - Corresponding Author

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