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Presentation of an Extended Version of the PageRank Algorithm to Rank Web Pages Inspired by Ant Colony Algorithm

by Sara Setayesh, Ali Harounabadi, Amir Masoud Rahmani
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 85 - Number 17
Year of Publication: 2014
Authors: Sara Setayesh, Ali Harounabadi, Amir Masoud Rahmani
10.5120/14931-3357

Sara Setayesh, Ali Harounabadi, Amir Masoud Rahmani . Presentation of an Extended Version of the PageRank Algorithm to Rank Web Pages Inspired by Ant Colony Algorithm. International Journal of Computer Applications. 85, 17 ( January 2014), 7-10. DOI=10.5120/14931-3357

@article{ 10.5120/14931-3357,
author = { Sara Setayesh, Ali Harounabadi, Amir Masoud Rahmani },
title = { Presentation of an Extended Version of the PageRank Algorithm to Rank Web Pages Inspired by Ant Colony Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 85 },
number = { 17 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 7-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume85/number17/14931-3357/ },
doi = { 10.5120/14931-3357 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:02:41.336652+05:30
%A Sara Setayesh
%A Ali Harounabadi
%A Amir Masoud Rahmani
%T Presentation of an Extended Version of the PageRank Algorithm to Rank Web Pages Inspired by Ant Colony Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 85
%N 17
%P 7-10
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The general search engines represent various results in their lists, which is very time consuming to check. . One way to limit the search engine results is to use ranking pages algorithm in web. One of the most important ranking algorithms of web pages in the internet is known as "PageRank", which works on the web-graph structure. In this article, an extended version of the "PageRank" algorithm taking into consideration the degree of user interest in web pages and the ant colony algorithm is presented. Simulation results indicate that in the recommended algorithm ranks are closer to the real data; they produce more distinguished ranks, and have a less amount of errors.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Web mining Ranking PageRank Ant Colony

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