Trusted Computing Method Research of Integration Reputation with Context in E-Commerce

With the rapid development of e-commerce. The lack of trust has become one of the main hindrances in the development of e-commerce. Building trust relationships between buyers and sellers in e-commerce therefore turns out to be an important issue. This paper investigates the status of trust computing research and presents some basic framework and trust computing methods within different types of trust models. Analysis of these models are also provided. Most of these models compute a trust value of a seller from direct experience and recommendations from buyers with the same purchases which based on the past transactions. Yet this trust value is static and cannot provide instance relationship with a new transaction. Trust value calculated from either direct experience or recommendations is different in different contexts, which should join the effect of the context when computing trust value. In the paper, we also give an overview of trusted computing method research of integration reputation with context in e-commerce, which introduce the context into direct trust and recommendation trust in order to provide more object trust result 1 for a new potential transaction. Also build an initial trustworthiness based on capability for new or no Support by Shenzhen, key project of technology basic research under Grant No.JC201104210050A transactions seller.