Online Reputation In E-commerce Cross-system Use Of Feedback

Reputation rating system of Online reputation management is a rating system set up for the seller and the buyer's credibility and reputation in C2C. However, that reputation feedback information of a system can not be used in another one seriously restrict the function of reputation management system. Sharing of reputation feedback information should be the development direction of reputation management systems. It was against Under this background, this thesis proposes the methods and means to realize cross-system reputation information sharing in the level of management and technology, and takes Taobao and Eachnet for example to analyze the realization issues of Online reputation management used across different systems in order to provide reference for interactive between reputation feedback information in all the major sites.First, this thesis puts forward trust mark seal as a typical representative of the third-party credit intermediary from the management point of view and explains intermediation model of the reputation feedback information used across different systems, and it proposes the act path to achieving sequential equilibrium by game, and then it puts forward the authentication framework of Online reputation feedback information used across different systems based on PKI and proposes the methods of the reputation value of CA certificate used across different systems and the trust strategy of the users of end-certificate used across different systems, and finally it lines on the integrated issue of Online reputation feedback information used across different systems.Main innovations of this thesis lie in: trust mark seal as a intermediary is a new model of Online reputation feedback information used across different systems in Chinese cultural context, and it puts forward the authentication framework of Online reputation feedback information used across different systems based on PKI, and it uses the integration of automatic trust negotiation framework to study Online reputation feedback information used across different systems.