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Reseach Article

A New Ranking Technique for Ranking Phase of Search Engine: Size based Ranking Algorithm (SBRA)

by Prabhat Kumar Singh, Gaurav Agarwal, Sachi Gupta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 82 - Number 5
Year of Publication: 2013
Authors: Prabhat Kumar Singh, Gaurav Agarwal, Sachi Gupta
10.5120/14115-2164

Prabhat Kumar Singh, Gaurav Agarwal, Sachi Gupta . A New Ranking Technique for Ranking Phase of Search Engine: Size based Ranking Algorithm (SBRA). International Journal of Computer Applications. 82, 5 ( November 2013), 35-39. DOI=10.5120/14115-2164

@article{ 10.5120/14115-2164,
author = { Prabhat Kumar Singh, Gaurav Agarwal, Sachi Gupta },
title = { A New Ranking Technique for Ranking Phase of Search Engine: Size based Ranking Algorithm (SBRA) },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 82 },
number = { 5 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 35-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume82/number5/14115-2164/ },
doi = { 10.5120/14115-2164 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:57:01.058037+05:30
%A Prabhat Kumar Singh
%A Gaurav Agarwal
%A Sachi Gupta
%T A New Ranking Technique for Ranking Phase of Search Engine: Size based Ranking Algorithm (SBRA)
%J International Journal of Computer Applications
%@ 0975-8887
%V 82
%N 5
%P 35-39
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The objective of this paper is to propose a new ranking technique or method for the web page rank. Different search engines use the different algorithm 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 works in two phases one is crawling phase and another is ranking phase. In this paper proposed work is based on the ranking phase. In this Paper designed new ranking algorithm which will be known as Size Based Ranking (SBR) Algorithm. This algorithm is cover more area of the web pages and hope that this algorithm is provide the best, accurate and sufficient data or information or matter to the user according to the need.

References
  1. S. S. Dhenakaran1 and K. Thirugnana Sambanthan2 "web crawler - an overview "International Journal of Computer Science and Communication Vol. 2, No. 1, January-June 2011, pp. 265-267.
  2. Linda Fortney Montgomery College Rockville Campus Library "Web search engines" la 634 aug. 2003.
  3. Sergey Brin and Lawrence Page. The anatomy of a large-scale hyper textual web searchengine. In Computer Networks and ISDN Systems, pages 107-117, 1998.
  4. Pau Valles Fradera" Personalizing web search and crawling from clickstream data"19/01/2009.
  5. Massimo Marchiori. The quest for correct information on the web: Hyper search engines. In Proceedings of the Sixth International World Wide Web Conference (WWW6), 1997.
  6. Zoltan Gyongyi, Hector Garcia-Molina, and Jan Pedersen. Combating web spam withtrustrank. Technical Report 2004-17, Stanford Info Lab, March 2004.
  7. Sergey Brin and Lawrence Page. The anatomy of a large-scale hyper textual web search engine. In Computer Networks and ISDN Systems, pages 107-117, 1998.
  8. J. Kleinberg. Authoritative sources in a hyperlinked environment. In 9th ACM-SIAM Symposium on Discrete Algorithms, 1998.
  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

Density of keyword on upper half page Density of keyword on lower half page Number of successors to the page Freshness value of the page.