Abstract—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.