International Journal of Application or Innovation in Engineering & Management (IJAIEM)
With the growing popularity of the World Wide Web (Web), large volumes of data are gathered automatically by Web servers and collected in access log files. Analysis of server access data can provide significant and useful information. The web is an important source of information retrieval nowadays, and the users accessing the web are from different backgrounds. The usage information about users are recorded in web logs. Analyzing web log files to extract useful patterns is called web usage mining. Web usage mining approaches include clustering, association rule mining, sequential pattern mining etc. To facilitate web page access by users, and web recommendation model is needed.