The PageRank its basically how google tops with user relevant results – a brain child of two great guys Sergy Brin and Lery Page the co founder of Google INC. I was wandered around it as this was topic for my seminar “GOOGLE PAGE RANK..†really horrified when I started with …an ocean of computing mathematics with all those probability, markov chains..and these where in some remote unknown island in my brain that i could never discover…so how could i just convince my teachers and classmate with this page rank. Thanks to god and youtube which helped me a video of the same seminar by a guy called “MAC-IN-DAY†from MIT,USA who made the concept clear without mathematical interpretations.
So, according to wiki Google PageRank is a link analysis algorithm that assigns a numerical weighting to each element of a hyperlinked set of documents, such as the World Wide Web, with the purpose of "measuring" its relative importance within the set. The algorithm may be applied to any collection of entities with reciprocal quotations and references. The numerical weight that it assigns to any given element E is also called the PageRank of E and denoted by PR(E).
The name PageRank is a trademark of Google. The PageRank process has been patented (U.S. Patent 6,285,999 ).

According to Google…The heart of our software is PageRank™, a system for ranking web pages developed by our founders Larry Page and Sergey Brin at Stanford University. And while we have dozens of engineers working to improve every aspect of Google on a daily basis, PageRank continues to play a central role in many of our web search tools.
PageRank relies on the uniquely democratic nature of the web by using its vast link structure as an indicator of an individual page’s value. In essence, Google interprets a link from page A to page B as a vote, by page A, for page B. But, Google looks at considerably more than the sheer volume of votes, or links a page receives; for example, it also analyzes the page that casts the vote. Votes cast by pages that are themselves "important" weigh more heavily and help to make other pages "important." Using these and other factors, Google provides its views on pages’ relative importance.
Of course, important pages mean nothing to you if they don’t match your query. So, Google combines PageRank with sophisticated text-matching techniques to find pages that are both important and relevant to your search. Google goes far beyond the number of times a term appears on a page and examines dozens of aspects of the page’s content (and the content of the pages linking to it) to determine if it’s a good match for your query.
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1 Comment Received
January 9th, 2012 @12:51 am
It’s difficult to get well-informed people on this topic, and you could be seen as you know what you’re sharing! Thanks
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