基于协作过滤算法的电子商务个性化推荐系统的研究

摘要

For the current situation and problems of personalized recommendation in the current e-commerce systems , this paper acutely and comprehensively gets the unique interests of different users as possible, provides a differentiation service for users and builds a personalized recommendation system model, gives the specific personalized recommendation system processes, system design and system implementation based on the collaborative filtering recommendation algorithm , accordingly promotes the development of e-commerce system.%针对目前电子商务个性化推荐研究的不足，提出准确全面地获取用户独特兴趣爱好、满足用户差异化需求的推荐服务，同时构建了具体的个性化推荐系统模型，给出了基于协作过滤算法的电子商务个性化推荐的流程、系统设计和系统实现，从而有利于推动电子商务的发展。