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Reseach Article

Upgradation of PageRank Algorithm based upon Time Spent on Web Page and its Link Structure

by Amit Kelotra
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 109 - Number 11
Year of Publication: 2015
Authors: Amit Kelotra
10.5120/19230-0952

Amit Kelotra . Upgradation of PageRank Algorithm based upon Time Spent on Web Page and its Link Structure. International Journal of Computer Applications. 109, 11 ( January 2015), 7-9. DOI=10.5120/19230-0952

@article{ 10.5120/19230-0952,
author = { Amit Kelotra },
title = { Upgradation of PageRank Algorithm based upon Time Spent on Web Page and its Link Structure },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 109 },
number = { 11 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 7-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume109/number11/19230-0952/ },
doi = { 10.5120/19230-0952 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:44:29.846377+05:30
%A Amit Kelotra
%T Upgradation of PageRank Algorithm based upon Time Spent on Web Page and its Link Structure
%J International Journal of Computer Applications
%@ 0975-8887
%V 109
%N 11
%P 7-9
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Page Ranking holds great importance in any information retrieval system. We are well aware of the fact that the World Wide Web boasts a vast array of pages. It becomes the duty of search engines to provide the most relevant web pages to the user. The PageRank is one approach to rank web pages. However, it lays more stress on link structure of a page. Hence, more parameters need to be accommodated in the already suggested algorithm. This will only make it more efficient. In this paper, a time-based approach is proposed as an extension to PageRank and is defined incrementally.

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Index Terms

Computer Science
Information Sciences

Keywords

PageRank Link Structure Time based Approach Web Structure Mining