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Reseach Article

Information Retrieval System Assigning Context to Documents by Relevance Feedback

by Narina Thakur, Deepti Mehrotra, Abhay Bansal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 58 - Number 20
Year of Publication: 2012
Authors: Narina Thakur, Deepti Mehrotra, Abhay Bansal
10.5120/9401-3815

Narina Thakur, Deepti Mehrotra, Abhay Bansal . Information Retrieval System Assigning Context to Documents by Relevance Feedback. International Journal of Computer Applications. 58, 20 ( November 2012), 37-47. DOI=10.5120/9401-3815

@article{ 10.5120/9401-3815,
author = { Narina Thakur, Deepti Mehrotra, Abhay Bansal },
title = { Information Retrieval System Assigning Context to Documents by Relevance Feedback },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 58 },
number = { 20 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 37-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume58/number20/9401-3815/ },
doi = { 10.5120/9401-3815 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:03:03.220253+05:30
%A Narina Thakur
%A Deepti Mehrotra
%A Abhay Bansal
%T Information Retrieval System Assigning Context to Documents by Relevance Feedback
%J International Journal of Computer Applications
%@ 0975-8887
%V 58
%N 20
%P 37-47
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we have proposed user feedback driven Information retrieval model. The proposed model assigns weights to the retrieved documents based on its context. The documents are re-ranked based on the user profile and his feedback. Proposed Information retrieval system uses vector space model and expert system. Need for user profile and relevance of information while searching and extracting information, from information retrieval system is highlighted.

References
  1. D. R. Green and S. D. King, "Internet-Based Information Systems: The Forth Estuary Forum (FEF) System", D. R. Green and S. D. King (eds. ), Coastal and Marine Geo-Information Systems, 451–465, 2003 Kluwer Academic Publishers. Printed in the Netherlands.
  2. Ricardo Baeza-Yates, Berthier Ribeiro-Neto, "Modern Information Retrieval" Addison-Wesley Longman Publishing co. 1999.
  3. http://sifaka. cs. uiuc. edu/czhai/pub/ir-tok. pdf
  4. Christopher D. Manning,Prabhakar Raghavan,Hinrich Schütze, "An Introduction toInformationRetrieval" Cambridge University Press Cambridge, England
  5. M. F. Porter, "An algorithm for suffix stripping", published in Program, 14 no. 3, and pp 130-137, July 1980.
  6. http://nlp. stanford. edu/IR-book/html/htmledition/a-first-take-at-building-an-inverted-index-1. html
  7. http://nlp. stanford. edu/IR-book/html/htmledition/index-compression-1. html
  8. http://cogsys. imm. dtu. dk/thor/projects/multimedia/textmining/node5. html
  9. Lee, D. L. , Chuang, Huei and Seamons, "Document ranking and the vector-space model". IEEE Software, Vol. 14 (2), p. 67-75, 1997.
  10. Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze,"Introduction to Information Retrieval". Cambridge University Press. 2008.
  11. Dmitry Zelenko, Chinatsu Aone, Anthony Richardella, "Kernel Methods for Relation Extraction", Journal of Machine Learning Research 3 (2003) 1083-1106, SRA International USA.
Index Terms

Computer Science
Information Sciences

Keywords

Information Retrieval Relevance Feedback Vector Space Model Inverted Index