Research on personalized recommendation system in E-learning

With the information explosion in the internet,web personalization becomes more and more important on the web.The paper designs a Browsing Behavior Personalized Information Recommendation System(BBIRS). A recommendation strategy puted forward in BBIRS,whitch through mine the web logs and interactive data 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.