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Estimating Page Importance based on Page Accessing Frequency

by Komal Sachdeva, Ashutosh Dixit
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 86 - Number 5
Year of Publication: 2014
Authors: Komal Sachdeva, Ashutosh Dixit
10.5120/14978-3178

Komal Sachdeva, Ashutosh Dixit . Estimating Page Importance based on Page Accessing Frequency. International Journal of Computer Applications. 86, 5 ( January 2014), 1-6. DOI=10.5120/14978-3178

@article{ 10.5120/14978-3178,
author = { Komal Sachdeva, Ashutosh Dixit },
title = { Estimating Page Importance based on Page Accessing Frequency },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 86 },
number = { 5 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume86/number5/14978-3178/ },
doi = { 10.5120/14978-3178 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:03:23.525375+05:30
%A Komal Sachdeva
%A Ashutosh Dixit
%T Estimating Page Importance based on Page Accessing Frequency
%J International Journal of Computer Applications
%@ 0975-8887
%V 86
%N 5
%P 1-6
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the vast growth of the Internet, many web pages are available online. Search engines use a component called as web crawlers for collecting these web pages from the web for storage and indexing. Many web pages are autonomous and are updated independent of the users. . As the web pages are updated autonomously; users do not come to know of how often the sources change. An incremental crawler visits the web repeatedly after a specific interval of time for the updation of its collection. Users are benefited by knowing the page importance based upon the page accessing frequency. This paper finds out the page importance based on page accessing frequency and also architecture for the same is also proposed.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Search Engine Web Crawler Page access Frequency.

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