Research Of Dynamic Trust Prediction Modelbased On Electronic Commerce

In recent years, with the Internet-based platform, a variety of large-scale distributedapplications, especially, the electronic commerce system is more and more popular. Alarge number of purchasing and recommended activities are going in virtual e-commercesystem, which leads to dynamic trust relationship problems emerging. The nature of thedynamic trust is one of the most complex concepts in social relations, involvingassumptions, expectations, behavior, and environmental and other factors, it is difficultaccurately quantified and predicted. Therefore, how to more quickly and more accuratelyfor open distributed environment determine the credibility of an entity, becomes a problemto be solved.And this is the basic issue for further research.First, review the emergence and development of trust management, and pointed outthe dynamic relationship of trust modeling and management technology is a trustmanagement technology in order to adapt to the development of Internet, the emergence ofnew directions. Describes the relationship of trust in distributed systems dynamic model, acareful analysis of the existing dynamic trust model as well as their advantages anddisadvantages, are given some ideas to improve these models.Secondly, considering the classical mathematical theory and some other knowledgein the social network and the graph theory, A method of constructing the trust network isproposed. In addition, in order to more accurately calculate the trust value, this papar putsforward five kinds of optimization algorithm, which lays the foundation for the dynamictrust calculation.Thirdly, in view of direct trust computation of the trust value computation, this papergives a measure prediction method based on the attenuation coefficient, which takes thetime into consideration more to forecast the direct trust value more accurately. In view ofthe recommendation trust computing, this paper presents a method based on the deviationof the recommendation to predict the trust, more in line with the cognitive psychology ofhuman beings. Finally, experiments using the Matlab program simulate according to the proposedalgorithm to verify the effectiveness of the algorithm in terms of the accuracy and timecomplexity.