User clustering method base on page of URL path
Lei Xiao-zhen · Journal of Changchun Institute of Technology · 2009
A novel method to get web page similarity clustering algorithm of Web users is proposed which are based on Web user's browsing behavior characterization.Web site access matrixes are set up on user's browsing behavior and number of hits to Web site's page,and on that URL of site users to cluster.Finally,the use of standard data set was tested to prove that such a similarity calculation method based on the URL of the Web users clustering algorithm is effective.