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Calculating Page Pertinence for Web Referencing: A New Approach

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 98 - Number 19
Year of Publication: 2014
Authors:
H. Barboucha
M. Nasri
10.5120/17288-7254

H Barboucha and M Nasri. Article: Calculating Page Pertinence for Web Referencing: A New Approach. International Journal of Computer Applications 98(19):1-5, July 2014. Full text available. BibTeX

@article{key:article,
	author = {H. Barboucha and M. Nasri},
	title = {Article: Calculating Page Pertinence for Web Referencing: A New Approach},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {98},
	number = {19},
	pages = {1-5},
	month = {July},
	note = {Full text available}
}

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.

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