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Survey on Relevance Calculation Methods

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 96 - Number 3
Year of Publication: 2014
Uma Gajendragadkar
Sarang Joshi

Uma Gajendragadkar and Sarang Joshi. Article: Survey on Relevance Calculation Methods. International Journal of Computer Applications 96(3):37-42, June 2014. Full text available. BibTeX

	author = {Uma Gajendragadkar and Sarang Joshi},
	title = {Article: Survey on Relevance Calculation Methods},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {96},
	number = {3},
	pages = {37-42},
	month = {June},
	note = {Full text available}


Relevance is one of the most important concepts in information retrieval. This paper discusses various approaches for relevance calculation available in literature. In Information Retrieval, relevance is how well a retrieved document or set of documents meets the information need. The paper summarizes, what relevance is and a survey of different methods of calculating relevance. Our goal is to study existing methods and to identify usefulness of existing methods for multilingual data and to understand the prerequisites required for these methods while using mime types likes webpages, urls, xml apart from plain text.


  • Pia Borlund, The Concept of Relevance in IR in Journal of The American Society for information Science and Technology, 54(10):913–925, 2003
  • S. Mizzaro. How many relevances in information retrieval? Interacting With Computers, 10(3):305–322, June 1998. ISSN: 0953-5438. Elsevier, The Netherlands.
  • Wu HC, Luk RWP, Wong KF, Kwok KL (2008). "Interpreting tf–idf term weights as making relevance decisions". ACM Transactions on Information Systems 26 (3): 1–37.
  • Yunjie (Calvin) Xu, Zhiwei Chen, Relevance Judgment: What Do Information Users Consider Beyond Topicality? in Journal of The American Society for information Science and Technology,57(7):961–973, 2006
  • epaper. esakal. com
  • Juan Ramos Using TF-IDF to Determine Word Relevance in Document Queries Tech. rep. , Departament of Computer science. Rutgers University (2000)
  • C. D. Manning, P. Raghavan and H. Schütze (2008), Introduction to Information Retrieval, Cambridge University Press.
  • Solr relevancy FAQ in Solr wiki
  • Salton, G. and C. Buckley, 1988 Term-weighting approaches in automatic text retrieval. Information Processing and Management 24 (5): 513–523.
  • Ricardo Baeza-Yates and Berthier Ribeiro-Neto, Modern Information Retrieval, ACM Press, 1999.
  • Ian Ruthven Mounia Lalmas A survey on the use of relevance feedback for information access systems In: Knowledge Engineering Review, Vol. 18, No. 2, 06. 2003, p. 95-145.
  • Michael Dittenbach Scoring and Ranking Techniques - tf-idf term weighting and cosine similarity in Information Retrival Facility articles March 2010
  • PEARL, J. 1988. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan-Kaufmann, San Mateo, CA.
  • G. Salton, A. Wong, and C. S. Yang (1975), "A Vector Space Model for Automatic Indexing," Communications of the ACM, vol. 18, nr. 11, pages 613–620.
  • Kalervo Järvelin & Jaana Kekäläinen IR evaluation methods for retrieving highly relevant documents In: Belkin, N. J. , Ingwersen, P. and Leong, M. -K. (eds. ) Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, NY: ACM, pp. 41–48. (2000)
  • Wang, Yining and Wang, Liwei and Li, Yuanzhi and He, Di and Liu, Tie-Yan and Chen, Wei. A Theoretical Analysis of NDCG Type Ranking Measures . InCoRR, (abs/1304. 6480) Year 2013.
  • Jin Young Kim and W. Bruce Croft A Field Relevance Model for Structured Document Retrieval in ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval Pages 97-108 Springer-Verlag Berlin, Heidelberg ©2012
  • Maxim Zakharov DataparkSearch at TREC-2005 in TREC-2005
  • Relevance Ranking in Clusterpoint Server clusterpoint wiki.
  • C. J. van Rijsbergen. Information Retrieval. Butterworths, London, 2nd edition, 1979.