Research on Personalized Recommendation System in E-learning

摘要：

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 users intersting degree on the page been caculated by its browsing speed.The system uses two recommendation algorithms according the different intersting degree.

关键词： personalized recommendation web mining recommendation model E-learning

作者: Rong Shan Zhibin Ren

作者单位: Department of Computer Science Weinan Teachers University Weinan,Shaanxi,P.R..China 714000 Department of Computer Science Weinan Teachers University einan,Shaanxi,P.R.China 714000

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Education Technology and Computer(第二届IEEE教育技术与计算机国际会议 ICETC 2010)

会议地点: 上海

会议语种:英文

页码: 182-184

在线出版日期: 2010-06-22（万方平台首次上网日期，不代表论文的发表时间）