Proposed Approach For Web Page AccessPrediction Using Popularity And Similarity Based Page Rank Algorithm

Abstract - Nowadays the Web is an important source of information retrieval 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. The web usage mining approaches can be applied to predict next page access. In this paper we proposed a Page Rank-like algorithm is proposed for conducting web page access prediction. We extend the use of page rank algorithm for next page prediction with several navigational attributes which are the similarity of the page size of the page access-time of the page duration of the page and transitiontwo pages visits sequentially and frequency of page and transition.