Extracting Keywords of Web Users´ Interests and Visualizing their Routine Visits

Analyzing users´ Web log data and extracting their interests of Web-watching behaviors are important and challenging research topics of Web usage mining. Users visit their favorite sites and sometimes search new sites by performing keyword search on search engines. Users´ Web-watching behaviors can be regarded as a graph since visited Web sites and entered search keywords are connected with each other in a time sequence. We call this graph as a site-keyword graph. This paper describes a method for clarifying users´ interests based on an analysis of the site-keyword graph. The method is for extracting subgraphs representing users´ routine visit from a site-keyword graph which is generated from augmented Web audience measurement data (Web log data). Experimental result shows that our new method succeeds in finding subgraphs which contain most of users´ interested sites