CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Survey Paper on Information Retrieval Algorithms and Personalized Information Retrieval Concept

by Parul Kalra Bhatia, Tanya Mathur, Tanaya Gupta
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 66 - Number 6
Year of Publication: 2013
Authors: Parul Kalra Bhatia, Tanya Mathur, Tanaya Gupta
10.5120/11088-6039

Parul Kalra Bhatia, Tanya Mathur, Tanaya Gupta . Survey Paper on Information Retrieval Algorithms and Personalized Information Retrieval Concept. International Journal of Computer Applications. 66, 6 ( March 2013), 14-18. DOI=10.5120/11088-6039

@article{ 10.5120/11088-6039,
author = { Parul Kalra Bhatia, Tanya Mathur, Tanaya Gupta },
title = { Survey Paper on Information Retrieval Algorithms and Personalized Information Retrieval Concept },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 66 },
number = { 6 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 14-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume66/number6/11088-6039/ },
doi = { 10.5120/11088-6039 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:21:38.326945+05:30
%A Parul Kalra Bhatia
%A Tanya Mathur
%A Tanaya Gupta
%T Survey Paper on Information Retrieval Algorithms and Personalized Information Retrieval Concept
%J International Journal of Computer Applications
%@ 0975-8887
%V 66
%N 6
%P 14-18
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Personalized Information Retrieval systems (PIR) are of great need now a day. With growing size of database & requirement of precise data, PIR are of great importance. But this area is still being under research for the best methodology of searching. The PIR system instead of providing irrelevant data along with relevant one, provide us with just the possible relevant data matching our need & requirement. In this paper a survey is done on different algorithms that are being worked on so far on PIR systems. Their drawbacks & new changes that can be inculcated. Different algorithms are being used to retrieve data in the PIR systems. Each algorithm was applied to the database & their results were noted. Then their drawbacks were noticed & some changes were made to overcome those.

References
  1. "IR models: the Boolean model", http://www. csee. umbc. edu/~ian/irF02/lectures/06Models-Boolean. pdf.
  2. Djoerd Hiemstra, University of Twente "Information Retrieval Models".
  3. "Ranking Algorithm" http://orion. lcg. ufrj. br/Dr. Dobbs/books/book5/chap14. htm
  4. Ashutosh Kumar Singh, Ravi Kumar P "A Comparative Study of Page Ranking Algorithm for Information Retrieval. "
  5. "IR models: Vector Space Model", http://www. csee. umbc. edu/~ian/irF02/lectures/07Models-VSM. pdf.
  6. Norbert Fuhr "Probabilistic Models in Information Retrieval". Brown, L. D. , Hua, H. , and Gao, C. 2003. A widget framework for augmented interaction in SCAPE.
  7. Chapter 14:Ranking Algorithm, Donna Harman, National Institute of Standards and Technology
  8. Ed Greengrass "Information retrieval: A Survey".
  9. Djoerd Hiemstra and Arjen P. de Vries "Relating the new language models of information retrieval to the traditional retrieval models" University of Twente.
  10. M. Lalmas, A. MacFarlane, S. M. R¨uger, A. Tombros, T. Tsikrika, and A. Yavlinsky, editors. Advances in Information Retrieval, 28th European Conference on IR Research, ECIR 2006, London, Proceedings, volume 3936 of Lecture Notes in Computer Science. Springer,UK, April 10-12, 2006.
  11. Suhail S. J. Owais, Pavel Kromer, and V_aclav Sn_a_sel. Query Optimization by Genetic Algorithms. In DATESO, pages 125{137, 2005.
  12. Mehrdad Dianati, Insop Song, and Mark Treiber. An introduction to genetic algorithms and evolution strategies. Technical report, University of Waterloo,Ontario, N2L 3G1, Canada, July 2002.
  13. Gareth Jones. Genetic and evolutionary algorithms. In Paul von Rague, editor,Encyclopedia of Computational Chemistry. John Wiley and Sons, 1998.
  14. Melanie Mitchell. An Introduction to Genetic Algorithms. MIT Press, Cambridge,MA, 1996.
  15. Ulrich Bodenhofer. Genetic Algorithms: Theory and Applications. Lecture notes Fuzzy Logic Laboratorium Linz-Hagenberg, Winter 2003/2004.
  16. Diane Kelly,School of Information & Library Science, IPAM | 04 October 2007.
  17. Optimizing Information Retrieval Using Evolutionary Algorithms and Fuzzy Inference System V_aclav Sn_a_sel1, Ajith Abraham2, Suhail Owais3, Jan Plato_s1, and Pavel Kromer1 Department of Computer Science, Faculty of Electrical Engineering and computer Science, V_SB - Technical University of Ostrava, 17. listopadu 15, 708
  18. H. A. R. Townsend. Genetic Algorithms - A Tutorial, 2003
Index Terms

Computer Science
Information Sciences

Keywords

Personalized information retrieval (PIR) Information retrieval (IR) Page Ranks Precision and Recall

Powered by PhDFocusTM