CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
Reseach Article

Artificial Bee Colony (ABC) Approach for Ranking Web Pages

by G. Anuradha, G. Lavanya Devi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 99 - Number 1
Year of Publication: 2014
Authors: G. Anuradha, G. Lavanya Devi
10.5120/17340-7482

G. Anuradha, G. Lavanya Devi . Artificial Bee Colony (ABC) Approach for Ranking Web Pages. International Journal of Computer Applications. 99, 1 ( August 2014), 35-39. DOI=10.5120/17340-7482

@article{ 10.5120/17340-7482,
author = { G. Anuradha, G. Lavanya Devi },
title = { Artificial Bee Colony (ABC) Approach for Ranking Web Pages },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 99 },
number = { 1 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 35-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume99/number1/17340-7482/ },
doi = { 10.5120/17340-7482 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:27:05.389591+05:30
%A G. Anuradha
%A G. Lavanya Devi
%T Artificial Bee Colony (ABC) Approach for Ranking Web Pages
%J International Journal of Computer Applications
%@ 0975-8887
%V 99
%N 1
%P 35-39
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The World Wide Web (WWW) is rapidly growing on all aspects and is a massive, explosive, data resource in the world. In information retrieval approach web Search engines are predominant tools for finding and getting access to the contents of web. The primary goal of Search engine is to provide relevant information to the users according to their needs, Usually Search engines gives large result set for a user's query. To limit the result list, it is necessary to assign ranking the web pages in an efficient and effective manner. Artificial Bee Colony (ABC) is one of the new approaches used to solve optimization problems. This paper proposes Artificial Bee Colony (ABC) approach as a new method for web mining particularly in ranking web pages. It considers users interest, total web site linkage and growth analysis rate are used to assign rank the web pages. Proposed ABC approach for ranking web pages is implemented and tested on real datasets. The experimental results shows efficiency of the proposed method compared with tradition page Rank Algorithm.

References
  1. Laxmi Choudhary, Bhawani Shankar Burdak. 2008," Role of Ranking Algorithms for Information Retrieval " Discrete Algorithms Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms; Pages: 1010-1018.
  2. Manju Patel1 and Shweta Modi. 2011," A Survey on Distributed Page Ranking", International Journal of Chemistry and Applications. ISSN 0974-3111 Volume 3, pp. 201-208
  3. Hema Dubey, Prof. B. N. Roy. 2011,"An Improved Page Rank Algorithm based on Optimized Normalization Technique", International Journal of Computer Science and Information Technologies, Vol. 2 (5) , 2183-2188
  4. http://www. cs. princeton. edu/chazelle/courses/BIB/ pagerank. htm
  5. E. Bonabeau, M. Dorigo, G. Theraulaz. 1999, "Swarm Intelligence: From Natural to Artificial Systems", New York, NY: Oxford University Press
  6. D. Karaboga, b. Akay. 2005, "Artificial bee colony (abc), harmony search and bees algorithms on Numerical optimization", Erciyes University, the dept. Of computer engineering, 38039, melikgazi, kayseri, turkiye
  7. Ashita S. Bhagade, Parag. V. Puranik. 2012, " Artificial Bee Colony (ABC) Algorithm for Vehicle Routing Optimization Problem", International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-2, Issue-2.
  8. Milos Subotic, "Artificial bee colony algorithm with multiple onlookers, for constrained optimization problems", Proceedings of the European Computing Conference
  9. V. Tereshko. 2000, "Reaction–diffusion model of a honeybee colony's foraging behavior", in: M. Schoenauer (Ed. ), Parallel Problem Solving from Nature VI,Lecture Notes in Computer Science, vol. 1917, Springer–Verlag, Berlin, , pp. 807–816.
  10. V. Tereshko, T. Lee. 2002, "How information mapping patterns determine foraging behaviour of a honeybee colony", Open Systems and Information Dynamics 181–193.
  11. V. Tereshko, A. Loengarov. 2005, Collective decision-making in honeybee foraging dynamics, Computing and Information Systems Journal 9 (3).
  12. www. alexa. com
  13. G. Anuradha, G. Lavanya Devi and M. S Prasad Babu. 2014, "Antrank: an ant colony algorithm for ranking web pages", ijettcs
Index Terms

Computer Science
Information Sciences

Keywords

WWW Search engine Artificial Bee Colony (ABC) User interest Total web site linkage growth analysis rate