Abstract
With a dramatic growth of the world-wide web exceeding 800 million pages, quality of the search results are given importance more than the content of the page. The quality of the page is determined by using web page ranking where the importance of the page depends on the importance of its parent page. For very large sub-graphs of the web, page rank can be computed with limited memory using Hadoop.
Pages in XML format are given as input for Page Ranking program. The forward and backward links are used to compute the rank of a page.
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ATUL
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Nishith
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Hi team,
Please mail me the zip file of this project, and more project related to this if any.
Thanks
Hi team,
Please mail me the zip file of this project or the code of this project which I can run on hadoop.
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I’m working with Flume on fetching Live Streaming Data i.e . Tweets from Twitter app. Please send me this project so that I can Link this facility for more interactive way of representing data!
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Hi team please send to the source code
Please email the zip file of this project
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Please mail me the zip file of this project, and more project related to this if any
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Please email the zip file of this project
Hi team,
Please mail me the zip file of this project, and more project related to this if any.
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Ashutosh
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Please mail me the zip file of this project.
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