PREDICTION OF USERS BEHAVIOR BASED ON MATRIX CLUSTERING

摘要：

With the explosive growth of data available on the Internet, discovery and analysis of useful information from the Internet become a practical necessity. In this paper, the problem of predicting a users behavior on a web-site is studied. A UserID-URL matrix is created and user clustering pattern and path predication are derived. A new algorithm is introduced in order to increase the speed of clustering. The experiments show that the web page predicting through matrix clustering has high hit probability.

关键词： Web Mining Matrix Clustering predicting user behavior

作者: YU-QING PENG GUO-XI XIAO TAO LIN

作者单位: School of Computer Science and Engineering, Hebei University of Technology, Tianjin, 300130, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 1343-1346

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）