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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 2    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 2,February 2012
Web Mining Using Topic Sensitive Weighted PageRank
Full Text(PDF, )  PP.501-504  
Shesh Narayan Mishra, Alka Jaiswal, Asha Ambhaikar
— Web structure mining; Weighted PageRank; Topic sensitive PageRank; TSWPR
The World Wide Web contains the large amount of information sources. While searching the web for particular topics, users usually fetch irrelevant and redundant information causing a waste in user time and accessing time of the search engine. So narrowing down this problem, user's interests and needs from their behavior 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 specific and accurate search results against a particular topic, we proposed a new algorithm Topic Sensitive Weighted PageRank based on web structure mining that will show the relevancy of the pages of a given topic is better determined, as compared to the existing PageRank, Topic sensitive PageRank and Weighted PageRank algorithms. For ordinary keyword search queries, Topic Sensitive Weigted PageRank scores will satisfy the topic of the query.
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