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.
李聪. ECRec: 基于协同过滤的电子商务个性化推荐管理*[J]. 现代图书情报技术, 2009, (10): 34-39.
Li Cong. ECRec：e-Commerce Personalized Recommendation Management Based on Collaborative Filtering. New Technology of Library and Information Service, 2009, (10): 34-39.
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