摘要
随着互联网的发展．Web挖掘技术已经成为数据挖掘技术的一个研究的热点。本文对Web挖掘的特点、方法进行了讨论，提出了结合网页的链接结构来补充数据的预处理．以更精确地识别用户会话。同时在挖掘浏览模式的时候，结合网页内容聚类和用户聚类，提高了推荐系统的性能。
As the rapid development of the Intemet, the technology of Web mining has become a hotter research field of data mining. This paper discusses the characteristics and methods of Web mining, which provide an idea of unifying structure of Web links to supply the data pretreatment in order to identify user session more precisely. While browsing pattern is being mined, the Web content clustering and the users clustering are unified to enhance the recommendation system performance.
作者
徐春选
姜伟
XU Chun-xuan JlANG Wei（1.Beijing United University,Beijing 101200,China;2.Shandong Institute of Occupational trade,Weifang 261011,China）
出处
《电脑知识与技术》
2008年第6期1279-1281,共3页
Computer Knowledge and Technology
