Research on Personalized E-Bookstore Service System

Abstract

E-service (such as e-learning and e-business) has been growing rapidly, keeping pace with the Web. The management pattern of e-commerce may greatly save the cost in the physical environment and bring conveniences to customers. People pay more and more attention to e-commerce day by day. Therefore, more and more companies have set up their own e-business Web sites to sell commodities or issue information service. But, the quality of the recommendations has an important effect on the customerpsilas future shopping behavior. Unqualified recommendations may cause two types of characteristic errors: false negative and false positive. According to the reasons mentioned above, the technologies of personalized technology, adaptive filtering are applied in the paper, while a new personalized recommendation algorithm is proposed, personalized recommendation algorithm was applied to a real e-bookstore for evaluation. Some experiment results are also provided.