Personalization Recommendation for New User on Commerce Web
Cui Zhong-qiang · Microcomputer applications · 2007
This paper presents a new approach of personalization recommendation for new user shopping on Commerce web. The first, paper makes use of shopper browsing information to create shopping behavior model and catches browsing information of new user to create browsing behavior model, forming most similar users to new user by collaborative filtering technique and recommending purchase by nearest neighbors. The method could provide more personalized commodity.