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ECRec:e-Commerce Personalized Recommendation Management Based on Collaborative Filtering |
Li Cong |
(School of Computer Science, Sichuan Normal University, Chengdu 610066, China) |
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Abstract To help e-Commerce websites provide personalized recommendation management based on collaborative filtering, an e-Commerce collaborative filtering prototype that is called ECRec, is proposed and implemented. ECRec includes two basic algorithms and four improved algorithms, and its architecture is independent on e-Commerce business systems,consequently, ECRec has a better portability and maintainability. Moreover, the algorithm interface in ECRec is embedded, thus ECRec has the characteristics of open architecture, and websites can add more collaborative filtering algorithms into ECRec.
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Received: 11 September 2009
Published: 25 October 2009
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Corresponding Authors:
Li Cong
E-mail: cnlicong@yahoo.cn
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About author:: Li Cong |
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