ECRec:基于协同过滤的电子商务个性化推荐管理

ECRec:e-Commerce Personalized Recommendation Management Based on Collaborative Filtering

为了使电子商务网站能够提供基于协同过滤的个性化推荐管理,提出并实现一个电子商务协同过滤原型系统ECRec。该系统包含两个基本算法和4个改进算法,其结构独立于电子商务业务系统,具有良好的可移植性和可维护性;同时内嵌算法接口,具有开放式架构的特征,网站可以根据需要向ECRec中增加更多的协同过滤算法。

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 algo- rithms into ECRec.