个性化学习系统中用户访问兴趣度量方法改进

Improving of User Access Interest Measurement in Individualized Study System

在基于web使用挖掘的个性化学习系统中，用户访问兴趣度量和表达是一个关键部分，该文分析了现有的三种用户测览兴趣的度量方法，提出了基于用户注册和页面访问时间的兴趣度量方法，以及基于页面浏览时间建立用户一资源评分矩阵，从而更有效地为用户聚类提供数据依据。

In the individualized study system based on web log mining, user access interest measurement and description are key parts. In this page, three current user interest measurement plans were analyzed, interest measurement plan based on user registration and access time of pages：and userresource interest matrix based on browsing time of pages are proposed in order to offer data foundation for user clustering more effectively.