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An Elegant Context Perceptive Page Rank Algorithm for Information Retrieval


Varun Singh , Dr. CV Raman University, Bilaspur C.G.; Tarun Dhar Diwan, Dr. CV Raman University, Bilaspur C.G.; Rohit Miri, Dr. CV Raman University, Bilaspur C.G.


Page Rank, Information Retrieval, Weighted page rank.


The World Wide Web contains the large amount of information sources and these are increasing tremendously. When the user searching the web for information retrieval, user may fetch irrelevant and redundant data causing a waste in user time and accessing time of the search engine. So narrowing down this problem by taking user interest and need from their behavior into account, have become increasingly important. Web structure mining plays an effective role in this approach. Some page ranking algorithms PageRank , Weighted PageRank are commonly used in web structure mining. The original PageRank algorithm search-query results independent of any particular search query. To yield more accurate search results for a particular topic, we have proposed a new algorithm, Elegant Context Perceptive Page Rank Algorithm on web structure mining that will show how the relevant pages of a given topic is better determined, as compared to the existing PageRank, Topic sensitive PageRank and Weighted PageRank algorithms.

Other Details

Paper ID: IJSRDV2I4022
Published in: Volume : 2, Issue : 4
Publication Date: 01/07/2014
Page(s): 38-41

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