摘要
基于Web挖掘的个性化推荐技术已在电子商务网站取得了较为广泛的应用,但在具体的过程中还存在较多的问题。文章首先从电子商务中的数据源和Web挖掘技术出发,介绍当前推荐系统的应用技术,分析现有的电子商务个性化推荐系统的优点及存在问题。提出了建立多模块个性化推荐和基于隐私保护模块的电子商务个性化推荐系统,并针对不同用户类型采用不同的推荐策略,实现完全个性化推荐系统。
Nowadays, web mining has been achieved more application in e-commerce website, but there are still many problems. The paper firstly introduce data source and web mining in e-commerce, analysis the advantages and problems in the current e-commerce personal recommender system. Then put forward establishing the muhi-module and the privacy protection module in recommender system, and use the different recommendation strategies for different types of users, thus complete fully prsonalized recommendation system.
出处
《电子设计工程》
2015年第11期30-32,35,共4页
Electronic Design Engineering
