Smart Recommendation: Research and Implement of the Product Recommendation System on E-commerce

Web service on Electronic commerce has been one of the major forms of purchase or browse by a large number of consumer. However, magnanimity information on web brings us much inconvenience. How to find what one need has become more and more difficult to users. In this article, We integrate some machine learning method such as association mine and intelligent recommendation arithmetic to bring forward a product intelligent recommendation model——Agent:Smart Recommendation,this system mine purchase model and interest of users by analyzing their historic trade record, in turn ,by which it process the product recommendation to consumers. The results of the experiment show that the proposed method has higher precision on the product recommendation and have some guidance to the users' behaviors.