本文已被:浏览 1376次 下载 2822次
Received:October 16, 2015 Revised:November 11, 2015
Received:October 16, 2015 Revised:November 11, 2015
中文摘要: 近年来,Web使用挖掘成为数据挖掘领域中一个新的研究热点,Web使用挖掘是从记录了大量网络用户行为信息的Web日志中发现用户访问行为特征和潜在规律.本文结合某高校主页的真实运行数据,通过Web使用挖掘对于网站的运行日志文件进行全面的挖掘分析,分析用户对信息内容的兴趣度,并通过用户对网页的访问数据推算出各个页面受众的兴趣度高低,借此改良网站的内容和布局.
Abstract:In recent years, web usage mining has become a new hotspot in the field of data mining. From the web logs which record information of a large number of network user's behavior, web usage mining discovers the characteristics and potential user access law. This paper uses many real running dates of college homepage. Aiming at running log files, we carry out a comprehensive analysis by using the web mining. Analyzing the interest measure of user to the information content. By using the user access to the page, the system can calculate the user data level of interest on each page, and thereby improving the content and layout of the site.
文章编号: 中图分类号: 文献标志码:
基金项目:
引用文本:
张亮,赵娜.网络用户浏览行为的分析.计算机系统应用,2016,25(6):260-264
ZHANG Liang,ZHAO Na.Internet Users' Browsing Behaviors Analysis.COMPUTER SYSTEMS APPLICATIONS,2016,25(6):260-264
张亮,赵娜.网络用户浏览行为的分析.计算机系统应用,2016,25(6):260-264
ZHANG Liang,ZHAO Na.Internet Users' Browsing Behaviors Analysis.COMPUTER SYSTEMS APPLICATIONS,2016,25(6):260-264