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基于CF面向对象的电子商务推荐系统
引用本文:吴昊,宋伟国,程亚娟.基于CF面向对象的电子商务推荐系统[J].甘肃科学学报,2011,23(1):152-155.
作者姓名:吴昊  宋伟国  程亚娟
作者单位: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
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.

关 键 词:数据挖掘  电子商务推荐系统  协同过滤  面向对象

The Object-oriented E-commerce Recommendation System Based on Collaborative Filtering
WU Hao,SONG Wei-guo,CHENG Ya-juan.The Object-oriented E-commerce Recommendation System Based on Collaborative Filtering[J].Journal of Gansu Sciences,2011,23(1):152-155.
Authors:WU Hao  SONG Wei-guo  CHENG Ya-juan
Institution:1.Production Center,Radio and Film and TV Administration of Gansu Province,Lanzhou 730000,China; 2.College of Information Science and Engineering,Lanzhou University,Lanzhou 730000,China)
Abstract: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 recommendation system.Finally,the quality of the algorithm was measured and analyzed.
Keywords:data mining  e-commerce recommendation system  collaborative filtering  object-oriented
本文献已被 CNKI 维普 万方数据 等数据库收录!
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