A Flexible Recommendation System In E-Commerce

With the grate popularization of internet, e-commerce is now developing at amazing speed. The abundance of e-commerce sites enable people have more choices but with less loyalty. Under this environment, e-commerce enterprises have to promote on their own initiative, find new tools to discover the preference of customers in order to keep their loyalty. The Recommender system becomes one of the best effective tools by identifying particular items which are likely to match each user's taste or preference,which can dramatically reduce the useless information and help us sift through all the available information to find which is most valuable to customers.In this article, the applications and research situation of e-commerce recommendation is introduced firstly, then a framework of Flexible Recommendation System in E-Commerce is proposed. Flexible Recommendation System consists of database, models warehouse, recommendation strategies, recommendation control engine, recommendation manager and the website. In FRS, models warehouse and recommendation strategies can be added and deleted as components, recommendation strategies is established based on various commerce goals. The framework is opened to different applications and recommendation technologies, and supports various kinds of recommendations. The recommendation steps based on the FRS framework are given at the end of the article.