摘要
基于数据挖掘的Web个性化服务系统是一个应用于网站的后台服务软件,能够为网站管理者和访问者提供信息收集、分析或个性化页面服务。它具有智能性、安全性、可扩展性等特点,可广泛应用于商业或其他用途的网站系统。文中运用J2EE中的Filter技术,针对Web个性化服务,提出了一种新的应用框架,并较细致地阐述了Filter的实现及配置的整个过程。采用Filter技术,能大大提高用户识别、会话识别的准确性,是实现个性化服务的理想方法。
Web personalizing service system based on data mining that can support information-collecting, information analysis or personalizing homepage service for website manager and visitor, is a background service software applying to website system. It features intelligence, security, expansibility and so on, and can be widely used for commercial or other purpose's website system. Applying filter in J2EE, this article discusses the frameworks of Web personalization, then describes the entire process of personalization implementation and configuration with filter in detail. By the filter,can promote the accuracy of identification of users,transactions greatly,and it will be proved to be the best method to implement the Web personalization services.
出处
《微机发展》
2003年第12期93-95,共3页
Microcomputer Development