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The precise logistics growth prediction can provide important reference for economic growth and consumer groups. According to the traditional logistics growth prediction method, the ordinary time prediction method was used to predict large deviations, and the result was unstable. So an improved logistic growth prediction of B2C e-commerce was proposed based on nonlinear integral. Firstly, the old...
According to the R-S mode, to solve terminal consumers easily fitting online in the B2C, C2C pattern e-business environment, it is necessary to provide a realtime interactive platform making fitting process visual. The system gets the data of custom body sizes to construct virtual fitting model through photos the custom uploaded. And then the model tries on different costumes and the system shows...
In the transaction process, the effective negotiation may cause more profits. In B2C and C2C, sellers only can use the fixed price or auction because they have no time and energy to bargain with buyers who are random on time and quantity, which reduces the benefits and successful transaction rate. This article established a negotiation model to solve this problem. This model conforms to the general...
Trust has been viewed through diverse disciplinary lenses like economic, social, psychology, organizational and technology. Researchers approached this topic from a disciplinary perspective. This leads to disjointed and contradictory research. Moreover, researchers have introduced many trust models in order to explain the factors that persuade consumers to trust electronic commerce (EC). However,...
This paper presents a novel and comprehensive reputation metric designed for the distributed reputation system for the Business-to-Consumer (B2C) E-commerce applications. The algorithm offers a comprehensive approach as it considers a number of the parameters that have a bearing on trust and reputation such as age of ratings, transaction value, credibility of referees, as well as number of malicious...
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