Abstract: Most existing domestic e-commerce platforms use eBay trust model, whose sellers’ reputation scores are the sum of feedback ratings offered by buyers. All these models do not distinguish between the rationality of buyers’ feedback ratings and their reference value. This paper proposes a group-based Customer to Customer(C2C) e-commerce trust model, by calculating buyers’ familiarities with sellers to determine the credibility of the buyers, considering transaction price, trading hours and other factors that may impact on the credibility. Through this method, a more comprehensive and effective C2C e-commerce trust model is built. Simulation results prove that the model can provide buyers with more comprehensive and accurate reputation information of sellers than Sporas trust model.
Customer to Customer(C2C) e-commerce,