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 Improved Web Page Ranking Algorithm Using Semantic Similarity and HITS Algorithm, Authors : Nisha Bansal and Dr. Paramjeet Singh, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
Volume & Issue no: Volume 3, Issue 4, July - August 2014

Title:
Improved Web Page Ranking Algorithm Using Semantic Similarity and HITS Algorithm
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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