摘要
随着互联网的迅速普及和广泛应用,网络信息资源的数量及网站设计的复杂度也呈急剧增长趋势。如今,针对用户特性并向用户提供个性化服务已经成为计算机技术的研究热点之一。本文首先简述了Web日志挖掘的相关概念和具体实现过程,然后重点讲述了Web日志挖掘的关键技术。最后采用了用户群体聚类算法与Web页面聚类算法相结合实现挖掘用户访问模式,并针对个性化服务的应用和发展方向进行了研究和分析。
With the rapid popularization and extensive application of the internet,the amount of the web-based information and the complexity of the site design also shows a sharp growth trend.Now,focusing on user features and providing personalized service has been a research hotspot in web technologies.This paper first outlines the concept and the implementation process of web log mining.Second,describes the key technologies for of web log mining.Finally,user access pattern is mined applying clustering algorithm based on the user browsing behavior and web page clustering algorithm.Again analyses and summarizes the application and development of personalized service
出处
《网络安全技术与应用》
2010年第6期61-64,共4页
Network Security Technology & Application
关键词
WEB日志挖掘
聚类算法
个性化服务
Web log mining
clustering algorithms
personalized service
