Billions of data related to the user queries is stored in several web Pages and it is growing each day. Many times, Query result is not satisfied to the user. Sometimes web pages display irrelevant data or insufficient data to the user. This type of problem is solved by using page ranking algorithm. Page ranking is based on the user queries. Page rank algorithm is massively used for ranking the web pages in order of most relevant in search engines World-Wide-Web. Page Rank work as main role in the process of web mining. Based on user query a rank list is associated with the listed web pages by any search engine. Therefore the web pages display higher Page ranks are listed in the top rank that helps the user to get a most relevant and useful information in minimum possible time. In this page ranking algorithm we can display both link and the content at a time. Many algorithms are used for page ranking such as Google page rank algorithm, Hyperlink-Induced topic search(HITS) algorithm etc., Using this algorithm we can easily eliminate the problem of older outdated web pages from our rank list. Page rank does not change only by the user click because most visited web pages are not useful or satisfied to the user. So we find the most visited web pages as well as total times spend by the user on the particular web pages. Based on current trend the particular web pages ranking is updated regularly.

Data mining, Hyperlink-Induced Topic Search [HITS] algorithm, Page Rank Algorithm.

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