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A New Ranking Algorithm for Search Engine: Content’s Weight based Page Ranking

by Charanjit Singh, Vijay Laxmi, Arvinder Singh Kang
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 152 - Number 7
Year of Publication: 2016
Authors: Charanjit Singh, Vijay Laxmi, Arvinder Singh Kang
10.5120/ijca2016911895

Charanjit Singh, Vijay Laxmi, Arvinder Singh Kang . A New Ranking Algorithm for Search Engine: Content’s Weight based Page Ranking. International Journal of Computer Applications. 152, 7 ( Oct 2016), 26-28. DOI=10.5120/ijca2016911895

@article{ 10.5120/ijca2016911895,
author = { Charanjit Singh, Vijay Laxmi, Arvinder Singh Kang },
title = { A New Ranking Algorithm for Search Engine: Content’s Weight based Page Ranking },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2016 },
volume = { 152 },
number = { 7 },
month = { Oct },
year = { 2016 },
issn = { 0975-8887 },
pages = { 26-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume152/number7/26333-2016911895/ },
doi = { 10.5120/ijca2016911895 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:57:34.183934+05:30
%A Charanjit Singh
%A Vijay Laxmi
%A Arvinder Singh Kang
%T A New Ranking Algorithm for Search Engine: Content’s Weight based Page Ranking
%J International Journal of Computer Applications
%@ 0975-8887
%V 152
%N 7
%P 26-28
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The objective of this paper is to propose a new ranking technique or algorithm for web page rank. Different search engines use various ranking algorithms for the ranking of the web pages. Web Page ranking algorithm works only on the web page repository or indexed pages to the search engine for ranking. In reality, search engines work in two phases one is crawling phase and another is ranking phase. This proposed Algorithm is based on the ranking phase. In this Paper purposed a new ranking algorithm which will be known as Content’s Weight Based Page Ranking Algorithm (CWPRA). This algorithm Calculate the Page Rank based upon the weight of contents which is related to user query. Hope this algorithm provide the best, accurate and sufficient data or information or matter to the user according to the need.

References
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  9. Serge Abiteboul, Mihai Preda, and Gregory Cobena. “Adaptive on-line page importance computation”, In WWW '03: Proceedings of the 12th international conference on WorldWide Web, pages 280-290, New York, NY, USA, 2003. ACM.
Index Terms

Computer Science
Information Sciences

Keywords

Web Mining Search Engine Page Ranking

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