An Approach for Web Pre-fetching to Enhance User Interaction of Web Application Using Markov Model

With the growth of the internet, use of Web sites across the world has been increased rapidity. where each website having number of web pages, number of indexed Web pages of over 20 billion. With such a huge collection, a quick Web search and response to user´s query is essential for effective utilization of the Web. Pre-fetching technique used time gap between consecutive requests from the same user in the Web environment and the Web server can use this time gap to pre-fetch the predicted pages. Successful perfecting will not only reduce the delays for users´ requests for Web objects, but also result in less overall network traffic and lighter loads on the Web servers. This paper gives an methodology for web pre fetching that generate candidate key by using fp tree and apply weight mining over it after that by using markov model catch the page that need to be pre fetch in order to increase user performance.