CFP last date
22 April 2024
Reseach Article

Impact of Page rank and Citation Count Algorithm for Digital Libraries - A Review

by Deepti Kapila, Charanjit Singh, Shikha Singla
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 96 - Number 3
Year of Publication: 2014
Authors: Deepti Kapila, Charanjit Singh, Shikha Singla
10.5120/16771-6339

Deepti Kapila, Charanjit Singh, Shikha Singla . Impact of Page rank and Citation Count Algorithm for Digital Libraries - A Review. International Journal of Computer Applications. 96, 3 ( June 2014), 1-5. DOI=10.5120/16771-6339

@article{ 10.5120/16771-6339,
author = { Deepti Kapila, Charanjit Singh, Shikha Singla },
title = { Impact of Page rank and Citation Count Algorithm for Digital Libraries - A Review },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 96 },
number = { 3 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume96/number3/16771-6339/ },
doi = { 10.5120/16771-6339 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:20:45.877008+05:30
%A Deepti Kapila
%A Charanjit Singh
%A Shikha Singla
%T Impact of Page rank and Citation Count Algorithm for Digital Libraries - A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 96
%N 3
%P 1-5
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the huge number of web pages that exist today, search engine plays an important role in the current Internet. But even if they allow finding relevant pages for any search topic, now a day the number of results returned is often too big those are very difficult to manage by the users. Moreover, the needs of the users vary, so that what may be important for one user may be completely irrelevant for another user. The role of ranking algorithms is thus important, in this select the pages that are most likely be able to satisfy the user's needs, and bring them in the top positions. In this survey the most popular algorithms used today by the search engines i. e. Page Rank and Citation count are introduced which are based on web structure mining technique . The comparison study of page rank and citation count algorithm is introduced to bring the difference between these two algorithms.

References
  1. Sumita Gupta, Neelam Duhan, Poonam Bansal; A comparative study of page ranking algorithms for online digital library. International Journal of Scientific & Engineering Research, Volume 4, Issue 4, April 2013.
  2. M. Debajyoti, B. Pradipta and K. Young-chon,"A syntactic classification based web page ranking algorithm", 6th International workshop on MSPT proceedings, 2006, pp. 83-92.
  3. D. Sujatha, M. Prasenjit and D. Lee,"Ranking authors in digital libraries", IEEE joint conference in digital libraries, 2011, pp. 251-254.
  4. S. Pratap, S. Kumar and P. Vikram,"An efficient algorithm for ranking research papers based on citation
  5. B. J. Jansen, A. Spink, J. Bateman, T. Saracevic; Real life Information Retrieval: A study of user queries on the web. ACM SIGIR Forum, 1998. Network,"IEEE conference in digital libraries, june 2011, pp. 88-95.
  6. Craig Silverstein, Monika henginger, hannes marais and Michael moricz; Analysis of very large altavista query log. Tech. Report 1998-014, Digital SRC, 1998.
  7. RankDex; The RankDex search engine. available online at http://rankdex. gari. com/
  8. M. Henginger; Hyperlink analysis on the web. 2003; available online at http://www. cad. eecs. berkeley. edu/tah/170/Notes/170-google. ppt
  9. A. Arasu, J. Cho, H. Garcia-Molina, A. Paepcke and S. Raghavan; searching the web. ACM transactions on internet technology; 2001.
  10. N. Duhan, A. K. Sharma and K. K. Bhatia; Page Ranking Algorithms: A Survey. Proceedings of the IEEE International Conference on Advance Computing, 2009.
  11. R. Kosala, and H. Blockeel, Web Mining Research: A Survey. SIGKDD Explorations, Newsletter of the ACM Special Interest Group on Knowledge Discovery and Data Mining, vol. 2, no. 1, pp. 1-15, 2000. .
  12. A. Broder; Web Searching Technology Overview. Advanced school and Workshop on Models and Algorithms for the World Wide Web, 2002.
Index Terms

Computer Science
Information Sciences

Keywords

Web Mining Digital library Page rank Citation