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Reseach Article

Calculating Page Pertinence for Web Referencing: A New Approach

by H. Barboucha, M. Nasri
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 98 - Number 19
Year of Publication: 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 },
issue_date = { July 2014 },
volume = { 98 },
number = { 19 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume98/number19/17288-7254/ },
doi = { 10.5120/17288-7254 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:26:35.124585+05:30
%A H. Barboucha
%A M. Nasri
%T Calculating Page Pertinence for Web Referencing: A New Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 98
%N 19
%P 1-5
%D 2014
%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
  1. D. R. W. Holton, I. Nafea, M. Younas, I. Awan . A class-based scheme for E-commerce web servers: Formal specification and performance evaluation. Journal of Network and Computer Applications, Volume 32, Issue 2, March 2009, Pages 455-460.
  2. Olivier Andrieu, Réussir son référencement web : Stratégie et techniques SEO, Eyrolles - Edition 2014 (16 décembre 2013)
  3. Faisal Nabi. Secure business application logic for e-commerce systems Original Research Article Computers & Security, Volume 24, Issue 3, May 2005, Pages 208-217
  4. Isabelle Canivet-Bourgaux, Référencement Mobile : Web analytics & stratégie de contenu, 456 pages Editeur : EYROLLES (11 juillet 2013)
  5. Samir Ghouti-Terki, Cookbook Référencement Google - 80 recettes de pros , (2 octobre 2013)
  6. Noel Nguessan, Bien référencer son site internet sur Google: L'Essentiel du référencement web; Noel Nguessan (8 septembre 2013)
  7. Yan Erjia, Topic-based Pagerank: toward a topic-level scientific evaluation, Scientometrics (Online) A. 2014, vol. 100, n° 2
  8. Springer, On the multi-splitting iteration method for computing PageRank, Journal of applied mathematics and computing (Internet) A. 2013, vol. 42, n° 1-2, pp. 479-490
  9. ERMANN Leonardo ; FRAHM Klaus M. ; SHEPELYANSKY Dima L; Spectral properties of Google matrix of Wikipedia and other networks; The European physical journal. B, Condensed matter physics (Print) A. 2013, vol. 86, n° 5
  10. Polyak B. T. ; Tremba A. A; Regularization-based solution of the PageRank problem for large matrices; Automation and remote control (Online) A. 2012, vol. 73, n° 11
  11. http://professeurs. esiea. fr/wassner/?2007/06/03/74-l-algorithme-pagerank-comment-a-marche
  12. http://en. wikipedia. org/wiki/PageRank
Index Terms

Computer Science
Information Sciences

Keywords

E-commerce algorithm SEO web social networks reputation SEO SMO page rank HTML5 CSS3 backlink in page off page. Googlebot