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Incremental relevance feedback for information filtering

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SIGIR '96: Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 270 - 278

https://doi.org/10.1145/243199.243274

Published: 18 August 1996 Publication History

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Cited By

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Zhu HHuang JRudinac SKanoulas EGurrin CKongkachandra RSchoeffmann KDang-Nguyen DRossetto LSatoh SZhou L(2024)Enhancing Interactive Image Retrieval With Query Rewriting Using Large Language Models and Vision Language ModelsProceedings of the 2024 International Conference on Multimedia Retrieval10.1145/3652583.3658032(978-987)Online publication date: 30-May-2024
https://dl.acm.org/doi/10.1145/3652583.3658032
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
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Index Terms

Incremental relevance feedback for information filtering
1. Applied computing
  1. Document management and text processing
2. Information systems
  1. Information retrieval
    1. Information retrieval query processing

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Published In

SIGIR '96: Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval

August 1996

344 pages

ISBN:0897917928

DOI:10.1145/243199

Chairmen:
Hans-Peter Frei
Ubilab, Union Bank, Switzerland
,
Donna Harman,
Peter Schaübie,
Ross Wilkinson

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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Publication History

Published: 18 August 1996

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SIGIR

19SIGIR96: 19th International Conference on Research Development in Information Retrieval

August 18 - 22, 1996

Zurich, Switzerland

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

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Cited By

View all

Zhu HHuang JRudinac SKanoulas EGurrin CKongkachandra RSchoeffmann KDang-Nguyen DRossetto LSatoh SZhou L(2024)Enhancing Interactive Image Retrieval With Query Rewriting Using Large Language Models and Vision Language ModelsProceedings of the 2024 International Conference on Multimedia Retrieval10.1145/3652583.3658032(978-987)Online publication date: 30-May-2024
https://dl.acm.org/doi/10.1145/3652583.3658032
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
Khan OGurrin CÞór Jónsson BKando NSchoeffmann KChen PO'Connor N(2020)An Interactive Learning System for Large-Scale Multimedia AnalyticsProceedings of the 2020 International Conference on Multimedia Retrieval10.1145/3372278.3391935(368-372)Online publication date: 8-Jun-2020
https://dl.acm.org/doi/10.1145/3372278.3391935
Apurva AVerma APradhan T(2020)Relevance Feedback Based Citation Recommendation for Scholarly Publications2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)10.1109/CONECCT50063.2020.9198352(1-6)Online publication date: Jul-2020
https://doi.org/10.1109/CONECCT50063.2020.9198352
Sankhavara J(2020)Feature Weighting in Finding Feedback Documents for Query Expansion in Biomedical Document RetrievalSN Computer Science10.1007/s42979-020-0069-x1:2Online publication date: 3-Mar-2020
https://doi.org/10.1007/s42979-020-0069-x
Khan OJónsson BRudinac SZahálka JRagnarsdóttir HÞorleiksdóttir ÞGuðmundsson GAmsaleg LWorring M(2020)Interactive Learning for Multimedia at LargeAdvances in Information Retrieval10.1007/978-3-030-45439-5_33(495-510)Online publication date: 8-Apr-2020
https://doi.org/10.1007/978-3-030-45439-5_33
Kayest MJain S(2019)An incremental learning approach for the text categorization using hybrid optimizationInternational Journal of Intelligent Computing and Cybernetics10.1108/IJICC-12-2018-0170Online publication date: 26-Jun-2019
https://doi.org/10.1108/IJICC-12-2018-0170
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
Zamani HShakery A(2018)A language model-based framework for multi-publisher content-based recommender systemsInformation Retrieval Journal10.1007/s10791-018-9327-021:5(369-409)Online publication date: 6-Feb-2018
https://doi.org/10.1007/s10791-018-9327-0
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