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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。
In order to make e-commerce website provide personalized recommendation management based on collaborative filtering, an e-commerce collaborative filtering prototype system ECRec is proposed and implemented. The system consists of two basic algorithms and four improved algorithms, the structure of which is independent of the e-commerce business system and has good portability and maintainability. At the same time, the embedded algorithm interface has the characteristics of an open architecture and the website can be customized according to needs Add more collaborative filtering algorithms to ECRec.