基于CF面向对象的电子商务推荐系统  

The Object-oriented E-commerce Recommendation System Based on Collaborative Filtering

作　　者：吴昊[1] 宋伟国[2] 程亚娟[2] 

机构地区：[1]甘肃广播电影电视总台制作中心,甘肃兰州730000 [2]兰州大学信息科学与工程学院,甘肃兰州730000

出　　处：《甘肃科学学报》2011年第1期152-155,共4页Journal of Gansu Sciences

摘　　要：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.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 recommertdation system. Finally,the quality of the algorithm was measured and analyzed.

关 键 词：数据挖掘 电子商务推荐系统 协同过滤 面向对象 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]