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Relevance feedback and inference networks

Authors:

David Haines and

W. Bruce CroftAuthors Info & Claims

SIGIR '93: Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval

July 1993

Pages 2 - 11

https://doi.org/10.1145/160688.160689

Published: 01 July 1993 Publication History

Abstract

Relevance feedback, which modifies queries using judgements of the relevance of a few, highly-ranked documents, has historically been an important method for increasing the performance of information retrieval systems. In this paper, we extend the inference network model introduced by Turtle and Croft to include relevance feedback techniques. The difference between relevance feedback on text abstracts and full text collections is studied. Preliminary results for relevance feedback on the structured queries supported by the inference net model are also reported.

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Cited By

Charbel NSallaberry CLaborie SChbeir R(2023)FEED2SEARCH: a framework for hybrid-molecule based semantic searchInternational Journal of General Systems10.1080/03081079.2023.219517352:3(343-383)Online publication date: 24-Apr-2023
https://doi.org/10.1080/03081079.2023.2195173
Raghavan VGrosky WWu ZGudivada V(2010)Information RetrievalThe Practical Handbook of Internet Computing10.1201/9780203507223.pt2Online publication date: 31-Jan-2010
https://doi.org/10.1201/9780203507223.pt2
Anagnostopoulos ABroder APunera K(2008)Effective and efficient classification on a search-engine modelKnowledge and Information Systems10.5555/3227237.322751016:2(129-154)Online publication date: 1-Aug-2008
https://dl.acm.org/doi/10.5555/3227237.3227510
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Index Terms

Relevance feedback and inference networks

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cover image ACM Conferences

SIGIR '93: Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval

July 1993

361 pages

ISBN:0897916050

DOI:10.1145/160688

Copyright © 1993 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGIR: ACM Special Interest Group on Information Retrieval

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 1993

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SIGIR93: 16th International ACM/SIGIR '93 Conference on Research and Development in Information Retrieval

June 27 - July 1, 1993

Pennsylvania, Pittsburgh, USA

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

Charbel NSallaberry CLaborie SChbeir R(2023)FEED2SEARCH: a framework for hybrid-molecule based semantic searchInternational Journal of General Systems10.1080/03081079.2023.219517352:3(343-383)Online publication date: 24-Apr-2023
https://doi.org/10.1080/03081079.2023.2195173
Raghavan VGrosky WWu ZGudivada V(2010)Information RetrievalThe Practical Handbook of Internet Computing10.1201/9780203507223.pt2Online publication date: 31-Jan-2010
https://doi.org/10.1201/9780203507223.pt2
Anagnostopoulos ABroder APunera K(2008)Effective and efficient classification on a search-engine modelKnowledge and Information Systems10.5555/3227237.322751016:2(129-154)Online publication date: 1-Aug-2008
https://dl.acm.org/doi/10.5555/3227237.3227510
Wong WLuk RLeong HHo KLee D(2008)Re-examining the effects of adding relevance information in a relevance feedback environmentInformation Processing and Management: an International Journal10.1016/j.ipm.2007.12.00244:3(1086-1116)Online publication date: 1-May-2008
https://dl.acm.org/doi/10.1016/j.ipm.2007.12.002
Leitão LCalado PWeis MLaender AFalcão AOlsen ØSilva MBaeza-Yates RMcGuinness DOlstad B(2007)Structure-based inference of xml similarity for fuzzy duplicate detectionProceedings of the sixteenth ACM conference on Conference on information and knowledge management10.1145/1321440.1321483(293-302)Online publication date: 6-Nov-2007
https://dl.acm.org/doi/10.1145/1321440.1321483
Alaya ISolnon CGhedira K(2007)Ant Colony Optimization for Multi-Objective Optimization ProblemsProceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence - Volume 0110.1109/ICTAI.2007.52(450-457)Online publication date: 29-Oct-2007
https://dl.acm.org/doi/10.1109/ICTAI.2007.52
Anagnostopoulos ABroder APunera K(2007)Effective and efficient classification on a search-engine modelKnowledge and Information Systems10.1007/s10115-007-0102-616:2(129-154)Online publication date: 13-Sep-2007
https://doi.org/10.1007/s10115-007-0102-6
Wei CChiang RWu C(2006)Accommodating Individual Preferences in the Categorization of DocumentsJournal of Management Information Systems10.2753/MIS0742-122223020823:2(173-201)Online publication date: 1-Oct-2006
https://dl.acm.org/doi/10.2753/MIS0742-1222230208
Anagnostopoulos ABroder APunera KYu PTsotras VFox ELiu B(2006)Effective and efficient classification on a search-engine modelProceedings of the 15th ACM international conference on Information and knowledge management10.1145/1183614.1183648(208-217)Online publication date: 6-Nov-2006
https://dl.acm.org/doi/10.1145/1183614.1183648
Amati G(2006)Information theoretic approach to information extractionProceedings of the 7th international conference on Flexible Query Answering Systems10.1007/11766254_44(519-529)Online publication date: 7-Jun-2006
https://dl.acm.org/doi/10.1007/11766254_44
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