Personalized Information Recommendation of E-Commerce

The traditional information recommendation of E-commerce could not satisfy current E-commerce enterprises and users’ needs. This paper divided E-commerce users into new users and other users. It proposed the recommendation strategy based on user segmentation. On the base of these, it designed a personalized information recommendation system of E-commerce, namely, PIRSE. The experimental results indicate that the recommendation strategy is feasible.