A Study Of B2c E-commerce Recommendation System

With the increasing of the Internet and the development of e-Commerce, the structures of e-Commerce web sites become more and more complex. Therefore,it is hard for consumers to find the products and services wanted. To address this issue, recommendation systems have been proposed to suggest products and helpful information for consumers. Recommendation systems have gradually become an important part in e-Commerce. More and more research papers about recommendation systems of e-Commerce appear in many kinds of conferences and journals.In this paper, the style and current state of e-Commerce are first introduced, which analyzed the necessary to adopt personalize method in the development of e-Commerce. Then analyzed the phenomenon of information overload about production in B2C website, and introduced the status of about the application of recommendation systems, and briefly drawed the relative technology with recommendation systems, especially user-based in collaborative filtering.We built the recommendation systems for M.com which sell CRBT on internet. Finally, we summarize on the paper, point out defects and the directions that will be further studied in the future.In research course, this thesis used web log data from M.com, with the method of User-based collaborative filtering algorithm, and carried out recommendation systems for M.com...