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Query-drift prevention for robust query expansion

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SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval

Pages 825 - 826

https://doi.org/10.1145/1390334.1390524

Published: 20 July 2008 Publication History

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Abstract

Pseudo-feedback-based automatic query expansion yields effective retrieval performance on average, but results in performance inferior to that of using the original query for many information needs. We address an important cause of this robustness issue, namely, the query drift problem, by fusing the results retrieved in response to the original query and to its expanded form. Our approach posts performance that is significantly better than that of retrieval based only on the original query and more robust than that of retrieval using the expanded query.

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Cited By

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Zhu YPang LWu KLan YShen HCheng X(2024)Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language UnderstandingACM Transactions on Information Systems10.1145/365259942:5(1-29)Online publication date: 27-Apr-2024
https://dl.acm.org/doi/10.1145/3652599
Hosseini SArabzadeh NZihayat MBagheri ESerra ESpezzano F(2024)Enhanced Retrieval Effectiveness through Selective Query GenerationProceedings of the 33rd ACM International Conference on Information and Knowledge Management10.1145/3627673.3679912(3792-3796)Online publication date: 21-Oct-2024
https://dl.acm.org/doi/10.1145/3627673.3679912
Almansoori MIslam MGhosh SMondal MChatterjee R(2024)The Web of Abuse: A Comprehensive Analysis of Online Resource in the Context of Technology-Enabled Intimate Partner Surveillance2024 IEEE 9th European Symposium on Security and Privacy (EuroS&P)10.1109/EuroSP60621.2024.00048(773-789)Online publication date: 8-Jul-2024
https://doi.org/10.1109/EuroSP60621.2024.00048
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Index Terms

Query-drift prevention for robust query expansion
1. Information systems
  1. Information retrieval
    1. Retrieval models and ranking

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Published In

SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval

July 2008

934 pages

ISBN:9781605581644

DOI:10.1145/1390334

General Chairs:
Tat-Seng Chua
National University of Singapore
,
Mun-Kew Leong
National Library Board, Singapore
,
Program Chairs:
Syung Hyon Myaeng
Information and Communications University, Korea
,
Douglas W. Oard
University of Maryland, College Park, USA
,
Fabrizio Sebastiani
Consiglio Nazionale delle Ricerche, Italy

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 July 2008

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SIGIR '08

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SIGIR '08: The 31st Annual International ACM SIGIR Conference

July 20 - 24, 2008

Singapore, Singapore

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

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Cited By

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Zhu YPang LWu KLan YShen HCheng X(2024)Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language UnderstandingACM Transactions on Information Systems10.1145/365259942:5(1-29)Online publication date: 27-Apr-2024
https://dl.acm.org/doi/10.1145/3652599
Hosseini SArabzadeh NZihayat MBagheri ESerra ESpezzano F(2024)Enhanced Retrieval Effectiveness through Selective Query GenerationProceedings of the 33rd ACM International Conference on Information and Knowledge Management10.1145/3627673.3679912(3792-3796)Online publication date: 21-Oct-2024
https://dl.acm.org/doi/10.1145/3627673.3679912
Almansoori MIslam MGhosh SMondal MChatterjee R(2024)The Web of Abuse: A Comprehensive Analysis of Online Resource in the Context of Technology-Enabled Intimate Partner Surveillance2024 IEEE 9th European Symposium on Security and Privacy (EuroS&P)10.1109/EuroSP60621.2024.00048(773-789)Online publication date: 8-Jul-2024
https://doi.org/10.1109/EuroSP60621.2024.00048
Huo SArabzadeh NClarke C(2023)Retrieving Supporting Evidence for Generative Question AnsweringProceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region10.1145/3624918.3625336(11-20)Online publication date: 26-Nov-2023
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