基于数据挖掘的网页个性化推荐系统分析

Analysis of the Personalized WEB Recommendation System Based on Data Mining

通过分析和提取数据库服务器上的网站描述文件和网站日志文件,获得浏览用户的浏览行为模式,分析了网页间的相关性,从而构建模拟网页个性化推荐系统,使网站的页面设计更具个性化,节省搜索网页的时间。

Through the analysis of the database server document and web site users log files,we obtained the navigation behavior patterns of the users.The paper also analyzed the correlation between web pages,so as to construct personalized recommendation system of the simulated web pages,making the page design more personalized and save more searching time.