基于数据挖掘的个性化网页推送服务模式研究  

Research of Pushing Personalized Homepage Service Based on Data Mining

作　　者：周文鹏[1] 

机构地区：[1]青岛市科学技术信息研究所,青岛266003

出　　处：《计算机与数字工程》2010年第8期58-61,共4页Computer & Digital Engineering

摘　　要：为满足用户及时获取个性化信息的需求,利用数据挖掘中的聚类分析方法对Web日志数据进行聚类,对网站已有用户的访问行为进行划分,得出各类别用户网页推送的数据集;采用关联规则方法提取聚类结果中各个簇的访问规则,完成个性化页面推送服务。结果表明该模式能够实现网站个性化页面推送的功能。In order to meet user demand for personalized information promptly,using data mining cluster analysis to carry out clustering on the Web log data.Base on the different visiting acting to divide different users into different categories and to push the data sets page to different users.Using association on the results of clustering then extract the rules of the various clusters,completing the website personalization page pushing service,the model results show that realize the function which the website personalization page pushes.

关 键 词：数据挖掘 用户访问模式 网页推送 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]