Predicting the Next Accessed Web Page Using Markov Model and PageRank

In this highly competitive world, only a user can decide the future of a web-based business. Success of any web business directly depends on services provided to the users and the level of satisfaction experienced by users. Prediction algorithm can be a dominating factor in web businesses that includes offers to customers on selling items, web site personalization and web recommendations etc. Understanding user's behaviour through Markov model can be a simple approach, but ambiguous prediction of next accessed web page is the main drawback of this approach. Therefore a method is proposed in this paper, in which ambiguous prediction problem can be resolved using Web PageRank along with Markov Model. Experimental result shows reduced number of ambiguous predictions after applying PageRank method.