基于CF面向对象的电子商务推荐系统

摘要

Based on association rules and collaborative filtering,the object-oriented system was recommended. Based on their characteristics,customers were classified ; according to customer classification, a different mining algorithm was adopted. The object-oriented algorithm based on collaborative filtering can provide customers with personalized services to enhance the quality of e-commerce recommertdationsyst em. Finally,the quality of the algorithm was measured and analyzed.%在关联规则、协同过滤的基础上提出了面向对象的推荐系统.根据客户特点进行分类,采取不同模式挖掘算法,提出面向对象的协同过滤算法,为客户提供个性化的服务,从而提高电子商务推荐系统的推荐质量.通过设计实验,对算法质量进行度量和分析.