Research of Trust Model Personalized Dynamic Recommendation System Based on Auction Mechanism

Integratedly use the knowledge of the social network theory based on the traditional trust, and compute the trust of the users of online auction transactions, because of lack of Intelligence, flexibility and initiative in current recommendation system, the Auction Mechanism Based Distributed Personalized Recommendation System was proposed. In this system, intelligent agent technology was used. The various modules of the recommendation system were realized by relevant agents. in order to overcome the limitation of a single recommendation method and satisfy multiple recommendation requirements, Personalized the assessment of the online auction trust based on the social network according to the recommended information of the recommend users. and provide a ne way of thinking for the users who find the integrity of trading partners, which promote the e-commerce develops orderly and healthy.