International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org
Call for Paper, Published Articles, Indexing Infromation
Title: |
Improved Web Page Ranking Algorithm Using Semantic Similarity and HITS Algorithm
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Author Name: |
Nisha Bansal and Dr. Paramjeet Singh |
Abstract: |
Abstract
People generally access the information over the internet with
the help of search engines. Search engines are the programs
which find the specific pages for users according to their
query. Web page ranking is the most important factor on
internet for search engines. Web page ranking is a technique
that ranks the web pages according to their different qualities
and parameters for search engines. There are various web
search engines are available on internet some of them are
Google, Yahoo, and Bing etc. In this paper, we present a new
web ranking system by using Semantic Similarity and HITS
algorithm along with AI technique. These techniques work
together to rank a web page from a number of web pages on
the internet.
Keywords: SEO, Search engine Optimization, Web page
ranking algorithm, HITS algorithm, Semantic Similarity
Algorithm |
Cite this article: |
Nisha Bansal and Dr. Paramjeet Singh , "
Improved Web Page Ranking Algorithm Using Semantic Similarity and HITS Algorithm " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS),
Volume 3, Issue 4, July - August 2014 , pp.
346-348 , ISSN 2278-6856.
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