An Enhanced Page Ranking Algorithm Based on Weights and Third level Ranking of the Webpages
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2016 by IJCTT Journal | ||
| Volume-34 Number-1 |
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| Year of Publication : 2016 | ||
| Authors : Prahlad Kumar Sharma, Sanjay Tiwari | ||
| DOI : 10.14445/22312803/IJCTT-V34P102 |
Prahlad Kumar Sharma, Sanjay Tiwari "An Enhanced Page Ranking Algorithm Based on Weights and Third level Ranking of the Webpages". International Journal of Computer Trends and Technology (IJCTT) V34(1):9-14, April 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
Web is the large collection of changeable
documents which are changing every second by
means of deletion and insertion of webpages and
websites. Data retrieved with respect to the user
query should be fresh and most relevant according to
the query, relevancy means most matching or
meaningful for the user or surfer. When a user
searches a specific topic or say query by using search
engine lakhs of pages, documents are being retrieved
on the basis of different searching technic of the
search engine and crawler, hence that lakhs of
documents retrieved are to be numbered or indexed
in such a way that the most relevant or meaningful
webpage, document should be at the top in the list. In
this paper few of page ranking algorithm are being
discussed and are also compared which one another
and a new page ranking algorithm is also proposed
“An Enhanced Page Ranking Algorithm Based on
Weights and Third level Ranking of the Webpages”.
The proposed algorithm ranks the webpages by
comprising the third level importance of pages linked
with the retrieved webpage and hence due to the third
level importance matching of the webpages the
relevancy of the ranking algorithm is more then that
discussed in literature.
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Keywords
Inlinks, outlinks, Page Ranking, Inbound
links, outbound links , Visit count, Information
Retrieval, World Wide Web.