基于用户浏览行为的个性化教学系统

摘要

E-learning has become the direction of the main trend in the development of today ’ s education technology. A new two degree tree-model is designed, and a Browsing Behavior Personalized Information Recommendation System( BBIRS) is designed on this basis. In the system, the web logs and interactive data been mined by offline and online separately, and the user’s intersting degree on the page been caculated by its browsing speed. The system uses two recommendation algorithms according the different intersting degree.%网络教育已成为现代教育技术主流的发展方向.提出了二层树状结构模型,并在此基础上,设计了一个基于基于浏览行为的个性化推荐系统(BBIRS).系统可以通过离线和在线方式对用户的访问日志和交互数据分别进行挖掘,并通过根据用户的浏览速度计算用户对页面的兴趣度,根据该兴趣度是否大于阈值,系统采用不同的推荐策略.