摘要
如何准确、及时、全面地采集用户使用数据是Web使用挖掘的重要前提和基础。基于Web的基本结构,Web使用挖掘的数据源可以从Web服务器端、应用服务器端、代理服务器端和客户端进行采集。文中分析了传统的基于Web日志进行Web使用挖掘所面临的问题,讨论了建立在用户浏览行为基础上的客户端数据采集技术,重点讨论了其中的JavaApplet技术。通过Java Applet技术可以获取客户端IP,可以自动完成用户浏览信息的准确采集,可以广泛用于各类网站的个性化和智能化服务、站点结构改进、商业智能等。
How to collect users＇ data accurately and quickly and ensure data integrity is an important precondition and foundation for Web usage mining research. Based on the Web structure, the data source of Web usage mining can be collected from Web server, application server, agent server and client. In this paper, the problems facing traditional Web usage mining based on the Web log are analysed, the data collection techniques of client are discussed which is based on the users＇ browsing behaviours, and the Java Applet technique is much emphasized, which can help get the IP address of client, automaticly complete the accurate collection of users＇ browsing information, can he widely used for the Web sites＇ personal and intelligent service, for the improvement of Web structure, and for the business intelligence, etc.
出处
《计算机技术与发展》
2010年第3期225-229,共5页
Computer Technology and Development
基金
国家"十一五"计划项目(FIB070335-B8-08)
