User Interest Modeling Based on Browsing Behavior

摘要：

Based on the combination of five user minimum browsing behaviors, this paper focuses on a comprehensive analysis of the quantitative relations between the user browsing time and the user interest rate, and proposed a new method of calculating degree of thematic interest, this method is based on association rule. Obtain user’s interest by fuzzy clustering algorithm, and establish user interest model. The experiments confirm that the method of calculating user interest rate is reasonable and effective, the user interest model responses user interest exactly, and have been effectively used in personalized service.

关键词： personalized service the smallest combination of browsing behavior user interest rate user interest model

作者: Ling ZHENG Shuo CUI Dong YUE Xinyu ZHAO

作者单位: School of Control andcomputer EngineeringNorth China ElectricPower UniversityBeijing, China School of Control and computer Engineering North China Electric Power University Beijing, China

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）