Research Article
Calculating Page Pertinence for Web Referencing: A New Approach
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 98 - Issue 19 |
| Published: July 2014 |
| Authors: H. Barboucha, M. Nasri |
10.5120/17288-7254
|
H. Barboucha, M. Nasri . Calculating Page Pertinence for Web Referencing: A New Approach. International Journal of Computer Applications. 98, 19 (July 2014), 1-5. DOI=10.5120/17288-7254
@article{ 10.5120/17288-7254,
author = { H. Barboucha,M. Nasri },
title = { Calculating Page Pertinence for Web Referencing: A New Approach },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 98 },
number = { 19 },
pages = { 1-5 },
doi = { 10.5120/17288-7254 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A H. Barboucha
%A M. Nasri
%T Calculating Page Pertinence for Web Referencing: A New Approach%T
%J International Journal of Computer Applications
%V 98
%N 19
%P 1-5
%R 10.5120/17288-7254
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Every day, more than three billion queries are performed on Google [1]. To take advantage of opportunities that you're offered by the search engines, it is important for your website to achieve high rankings in search results, in order to reach a larger customer base, increasing its business in other regions (or countries). One goal of any business is to convert a maximum of Internet users into potential customers. ALGORITHM[2] links that allowed Google to be so successful and become what it is today! But how algorithm function to rank sites in terms of importance ? What formulas are the basis for website ranking ? The developers carry out tests and then draw conclusions. The purpose of this paper is to find a method (algorithm) which calculates the relevance of each page, we unveil parts of the code of the largest search engine in the world.
References
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