An Enhanced Page Ranking Algorithm Based on Weights and Third level Ranking of the Webpages

International Journal of Computer Trends and Technology (IJCTT)          
© 2016 by IJCTT Journal
Volume-34 Number-1
Year of Publication : 2016
Authors : Prahlad Kumar Sharma, Sanjay Tiwari


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. 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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Inlinks, outlinks, Page Ranking, Inbound links, outbound links , Visit count, Information Retrieval, World Wide Web.