Abstract- Web mining or web structure mining, an important
application of data mining, is used to handle the complex and
diverse data available on the web in the form of structured, semi
structured and even unstructured forms. Web mining is applied
to extract useful data from the data available on the web which
can be further used in many applications. An important
application of web mining is the ranking of web pages based on
the structure, content and usage. Many algorithms exist for web
page ranking and these algorithms are based upon one or more
parameters such as forward links, backward links, contents and
distance. The efficiency of an algorithm may be based upon the
parameters that are applied to determine the ranking of the page.
A new algorithm is proposed that determines the page rank
based upon multiple parameters and a comparative analysis
between the existing and proposed algorithms shows that the
proposed algorithm gives better results keeping in view the
complexity and execution time of the algorithms.