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Reseach Article

Reading Time: A Method for Improving the Ranking Scores of Web Pages

by Shweta Agarwal, Bharat Bhushan Agarwal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 75 - Number 11
Year of Publication: 2013
Authors: Shweta Agarwal, Bharat Bhushan Agarwal
10.5120/13153-0790

Shweta Agarwal, Bharat Bhushan Agarwal . Reading Time: A Method for Improving the Ranking Scores of Web Pages. International Journal of Computer Applications. 75, 11 ( August 2013), 5-11. DOI=10.5120/13153-0790

@article{ 10.5120/13153-0790,
author = { Shweta Agarwal, Bharat Bhushan Agarwal },
title = { Reading Time: A Method for Improving the Ranking Scores of Web Pages },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 75 },
number = { 11 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 5-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume75/number11/13153-0790/ },
doi = { 10.5120/13153-0790 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:43:59.274886+05:30
%A Shweta Agarwal
%A Bharat Bhushan Agarwal
%T Reading Time: A Method for Improving the Ranking Scores of Web Pages
%J International Journal of Computer Applications
%@ 0975-8887
%V 75
%N 11
%P 5-11
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In order to improve the ranking of web pages, we analyze the original PageRank and its improved versions; and then record the reading time and visited links of the page to check the degree of importance to the users. It means we include the reading time as a time factor as well to improve the precision of the ranking, which can be treated as the combination of usage and link structure in another way.

References
  1. Tamanna Bhatia, " Link Analysis Algorithms For Web Mining ", IJCST Vol. 2, Issue 2, June 2011.
  2. Neelam Duhan, A. K. Sharma, Komal Kumar Bhatia, "Page Ranking Algorithms: A Survey" Advance Computing Conference, 2009. IACC 2009 IEEE International.
  3. Google PageRank – Algorithm available at http://pr. efactory. de/e-pagerank-algorithm. shtml.
  4. Dou, Z. ; Song, R. ; and Wen, J. -R. 2007. A large-scale evaluation and analysis of personalized search strategies. In WWW '07: Proc. of the 16th International Conference onWorld WideWeb, 581–590. New York, NY, USA: ACM.
  5. Brin S and Page L (1998), The Anatomy of a Large-Scale Hypertextual Web Search Engine_, Computer Networks and ISDN Systems, Vol. 30, Nos. 1-7, pp. 107-117.
  6. Brin, S. , Motwani, R. , Page, L. , & Wingrad, T. (1998). What can you do with a web in your pocket? Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 21(2), 37 – 47. Retrieved November 4, 2002, from http://www. n3labs. com/pdf/brin98what. pdf.
  7. L. Page, S. Brin, R. Motwani, and T. Wino grad, "The PageRank Citation Ranking: Bringing order to the Web". Technical report, Stanford Digital Libraries SIDL-WP- 1999-0120, 1999.
Index Terms

Computer Science
Information Sciences

Keywords

Search Engine Reading Time Visits of links PageRank Outlink Inlink.