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# Pagerank

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### Pagerank

1. 1. Presented by Rajai Jyoti(198)
2. 2. Agenda  Introduction to Page Rank  Link Structure of Web  Algorithm  Example  Damping Factor  Random Surfer Model  Google Toolbar
3. 3. Introduction to Page Rank  PageRank is an algorithm used by Google Search to rank websites in their search engine results.  PageRank is a way of measuring the importance of website pages.  A hyperlink to a page counts as a vote of support.  More votes implies more importance.  The PageRank of a page is defined recursively and depends on the number and PageRank metric of all pages that link to it ("incoming links").  A page that is linked to by many pages with high PageRank receives a high rank itself.
4. 4. Introduction to PageRank(cont..)  Importance of each vote is taken into account when a page's Page Rank is calculated.  Page Rank is Google's way of deciding a page's importance.  It matters because it is one of the factors that determines a page's ranking in the search results.  Page Rank Notation-
5. 5. Link Structure of the Web Backlinks and Forward links: A and B are C’s backlinks C is A and B’s forward link tuitively, a webpage is important if it has a lot of backlinks.
6. 6.  The original Page Rank algorithm which was described by Larry Page and Sergey Brin is,  Where , − the PageRank value for a page u is dependent on the PageRank values for each page v contained in the set Bu ,then set containing all pages linking to page u is divided by the number L(v) of links from page v.  The PageRank transferred from a given page to the targets of its outbound links upon the next iteration is divided equally among all outbound links. Algorithm