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Dynamical Trust and Reputation Computation Model for B2C E-Commerce

机译:B2C电子商务的动态信任和信誉计算模型

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摘要

Trust is one of the most important factors that influence the successful application of network service environments, such as e-commerce, wireless sensor networks, and online social networks. Computation models associated with trust and reputation have been paid special attention in both computer societies and service science in recent years. In this paper, a dynamical computation model of reputation for B2C e-commerce is proposed. Firstly, conceptions associated with trust and reputation are introduced, and the mathematical formula of trust for B2C e-commerce is given. Then a dynamical computation model of reputation is further proposed based on the conception of trust and the relationship between trust and reputation. In the proposed model, classical varying processes of reputation of B2C e-commerce are discussed. Furthermore, the iterative trust and reputation computation models are formulated via a set of difference equations based on the closed-loop feedback mechanism. Finally, a group of numerical simulation experiments are performed to illustrate the proposed model of trust and reputation. Experimental results show that the proposed model is effective in simulating the dynamical processes of trust and reputation for B2C e-commerce.
机译:信任是影响网络服务环境(例如电子商务,无线传感器网络和在线社交网络)成功应用的最重要因素之一。近年来,与信任和声誉相关的计算模型在计算机社会和服务科学中都得到了特别的关注。提出了一种B2C电子商务信誉度的动态计算模型。首先,介绍了与信任和声誉相关的概念,并给出了B2C电子商务信任的数学公式。然后基于信任的概念以及信任与声誉之间的关系,提出了声誉的动态计算模型。在提出的模型中,讨论了B2C电子商务声誉的经典变化过程。此外,基于闭环反馈机制,通过一组差分方程式来制定迭代信任和信誉计算模型。最后,进行了一组数值模拟实验,以说明所提出的信任和声誉模型。实验结果表明,该模型可以有效地模拟B2C电子商务中信任和信誉的动态过程。

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