Ranking web pages based on user interaction time

Web mining is a technique through which various analyses can be done so that it can be used for a variety of applications such as page ranking. Page ranking denotes the popularity or usage of web pages over internet. Although there are various page ranking algorithms implemented, but HITS and Google Page ranking are the most popular raking algorithms. This technique provides efficient ranking of web pages and provides less computational time, but here in this paper the algorithm is enhanced on the basis of response time of each web page. The idea is to compute access time of each web page and then compute average response time on the basis of which ranking of web pages can be predicted. The technique implemented here provides efficient page ranking as well as provides better goodness factor.