Clustering Analysis of E-commerce site users interest based on Dissimilarity Measure
The electronic commerce websites access log includes users access data, through denoising analysis of the access data, the remained data contained the access user, the access time and the access link is carried on two-dimensional matrixing processing, the twodimensional matrixing is calculated according to dissimilarity measure principle, the same access interest user are differentiated, the cluster of the electronic commerce website users is realized, which provides the reference for the website optimization and the commodity network promotion. Our experiments analysis shows that the method is efficient and practical for the clustering analysis of electronic commerce website users interest.
component Clustering E-Commerce web log Dissimilarity measure
Xiao Qiang QIAN Xiao-dong
Economics and management school, LAN Zhou Jiao tong University,Lanzhou China Economics and management school,LAN Zhou Jiao tong University,Lanzhou China
国际会议
厦门
英文
653-655
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）