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Incremental relevance feedback

Author:

IJsbrand Jan AalbersbergAuthors Info & Claims

SIGIR '92: Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 11 - 22

https://doi.org/10.1145/133160.133169

Published: 01 June 1992 Publication History

Abstract

Although relevance feedback techniques have been investigated for more than 20 years, hardly any of these techniques has been implemented in a commercial full-text document retrieval system. In addition to pure performance problems, this is due to the fact that the application of relevance feedback techniques increases the complexity of the user interface and thus also the use of a document retrieval system. In this paper we concentrate on a relevance feedback technique that allows easily understandable and manageable user interfaces, and at the same time provides high-quality retrieval results. Moreover, the relevance feedback technique introduced unifies as well as improves other well-known relevance feedback techniques.

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Cited By

Ye ZXie XAi QLiu YWang ZSu WZhang M(2023)Relevance Feedback with Brain SignalsACM Transactions on Information Systems10.1145/363787442:4(1-37)Online publication date: 18-Dec-2023
https://dl.acm.org/doi/10.1145/3637874
Li ZGu YShen YHu WCheng G(2023)TRAVERS: A Diversity-Based Dynamic Approach to Iterative Relevance Search over Knowledge GraphsProceedings of the ACM Web Conference 202310.1145/3543507.3583429(2560-2571)Online publication date: 30-Apr-2023
https://dl.acm.org/doi/10.1145/3543507.3583429
Khan OJónsson BZahálka JRudinac SWorring MCheng WKankanhalli MWang MChu WLiu JWorring M(2021)Impact of Interaction Strategies on User Relevance FeedbackProceedings of the 2021 International Conference on Multimedia Retrieval10.1145/3460426.3463663(590-598)Online publication date: 24-Aug-2021
https://dl.acm.org/doi/10.1145/3460426.3463663
Show More Cited By

Index Terms

Incremental relevance feedback
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
2. Information systems
  1. Information retrieval
    1. Information retrieval query processing
    2. Retrieval models and ranking

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Published In

cover image ACM Conferences

SIGIR '92: Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval

June 1992

352 pages

ISBN:0897915232

DOI:10.1145/133160

Chairman:
Edward Fox
VPI & State Univ., Blacksburg, VA
,
Editors:
Nicholas Belkin
Rutgers Univ., New Brunswick, NJ
,
Peter Ingwersen,
Annelise Mark Pejtersen

Copyright © 1992 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
Royal School of Lib.: Royal School of Lib.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 1992

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Royal School of Lib.

SIGIR92: 15th International ACM/SIGIR Conference on Research & Development in Information Retrieval

June 21 - 24, 1992

Copenhagen, Denmark

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Cited By

Ye ZXie XAi QLiu YWang ZSu WZhang M(2023)Relevance Feedback with Brain SignalsACM Transactions on Information Systems10.1145/363787442:4(1-37)Online publication date: 18-Dec-2023
https://dl.acm.org/doi/10.1145/3637874
Li ZGu YShen YHu WCheng G(2023)TRAVERS: A Diversity-Based Dynamic Approach to Iterative Relevance Search over Knowledge GraphsProceedings of the ACM Web Conference 202310.1145/3543507.3583429(2560-2571)Online publication date: 30-Apr-2023
https://dl.acm.org/doi/10.1145/3543507.3583429
Khan OJónsson BZahálka JRudinac SWorring MCheng WKankanhalli MWang MChu WLiu JWorring M(2021)Impact of Interaction Strategies on User Relevance FeedbackProceedings of the 2021 International Conference on Multimedia Retrieval10.1145/3460426.3463663(590-598)Online publication date: 24-Aug-2021
https://dl.acm.org/doi/10.1145/3460426.3463663
Qu CYang LCroft WScholer FZhang YAzzopardi LHalvey MRuthven IJoho HMurdock VQvarfordt P(2019)Answer Interaction in Non-factoid Question Answering SystemsProceedings of the 2019 Conference on Human Information Interaction and Retrieval10.1145/3295750.3298946(249-253)Online publication date: 8-Mar-2019
https://dl.acm.org/doi/10.1145/3295750.3298946
Zhang HCormack GGrossman MSmucker M(2019)Evaluating sentence-level relevance feedback for high-recall information retrievalInformation Retrieval Journal10.1007/s10791-019-09361-0Online publication date: 13-Aug-2019
https://doi.org/10.1007/s10791-019-09361-0
Bi KAi QCroft W(2019)Iterative Relevance Feedback for Answer Passage Retrieval with Passage-Level Semantic MatchAdvances in Information Retrieval10.1007/978-3-030-15712-8_36(558-572)Online publication date: 7-Apr-2019
https://doi.org/10.1007/978-3-030-15712-8_36
Zhang XZhang XLiu H(2015)Smart Multitask Bregman Clustering and Multitask Kernel ClusteringACM Transactions on Knowledge Discovery from Data10.1145/274787910:1(1-29)Online publication date: 22-Jul-2015
https://dl.acm.org/doi/10.1145/2747879
Yu ZWang ZHe HTian JLu XGuo B(2015)Discovering Information Propagation Patterns in Microblogging ServicesACM Transactions on Knowledge Discovery from Data10.1145/274280110:1(1-22)Online publication date: 22-Jul-2015
https://dl.acm.org/doi/10.1145/2742801
Berardi GEsuli ASebastiani F(2015)Utility-Theoretic Ranking for Semiautomated Text ClassificationACM Transactions on Knowledge Discovery from Data10.1145/274254810:1(1-32)Online publication date: 22-Jul-2015
https://dl.acm.org/doi/10.1145/2742548
Laycock SBell GCorps NMortimore DCox GMay SFinkel I(2015)Using a Combination of Micro--Computed Tomography, CAD and 3D Printing Techniques to Reconstruct Incomplete 19th-Century Cantonese Chess PiecesJournal on Computing and Cultural Heritage 10.1145/26296827:4(1-6)Online publication date: 11-Feb-2015
https://dl.acm.org/doi/10.1145/2629682
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