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Published in:
2012 | OriginalPaper | Chapter
Personalized Information Recommendation of E-Commerce
Author : Bo He
Published in: Advances in Future Computer and Control Systems
Publisher: Springer Berlin Heidelberg
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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.