Article

Improving weak ad-hoc queries using wikipedia asexternal corpus

Authors:

Yinghao Li,

Wing Pong Robert Luk,

Kei Shiu Edward Ho,

Fu Lai Korris ChungAuthors Info & Claims

SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 797 - 798

https://doi.org/10.1145/1277741.1277914

Published: 23 July 2007 Publication History

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Abstract

In an ad-hoc retrieval task, the query is usually short and the user expects to find the relevant documents in the first several result pages. We explored the possibilities of using Wikipedia's articles as an external corpus to expand ad-hoc queries. Results show promising improvements over measures that emphasize on weak queries.

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Cited By

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Mazari ADjeffal A(2021)Hybrid Query Expansion Model Based on Pseudo Relevance Feedback and Semantic Tree for Arabic IRInternational Journal of Information Retrieval Research10.4018/IJIRR.28994912:1(1-16)Online publication date: 20-Oct-2021
https://doi.org/10.4018/IJIRR.289949
Dang ELuk RAllan J(2021)A Comparison between Term-Independence Retrieval Models for Ad Hoc RetrievalACM Transactions on Information Systems10.1145/348361240:3(1-37)Online publication date: 8-Dec-2021
https://dl.acm.org/doi/10.1145/3483612
Breuer TPest MSchaer P(2021)Evaluating Elements of Web-Based Data Enrichment for Pseudo-relevance Feedback RetrievalExperimental IR Meets Multilinguality, Multimodality, and Interaction10.1007/978-3-030-85251-1_5(53-64)Online publication date: 14-Sep-2021
https://doi.org/10.1007/978-3-030-85251-1_5
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Index Terms

Improving weak ad-hoc queries using wikipedia asexternal corpus
1. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results
      1. Relevance assessment
    2. Retrieval models and ranking

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Published In

SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval

July 2007

946 pages

ISBN:9781595935977

DOI:10.1145/1277741

General Chairs:
Wessel Kraaij
TNO, The Netherlands
,
Arjen P. de Vries
CWI, The Netherlands
,
Program Chairs:
Charles L. A. Clarke
University of Waterloo, Canada
,
Norbert Fuhr
University of Duisburg-Essen, Germany
,
Noriko Kando
National Institute of Informatics, Japan

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

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Published: 23 July 2007

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SIGIR07: The 30th Annual International SIGIR Conference

July 23 - 27, 2007

Amsterdam, The Netherlands

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

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Mazari ADjeffal A(2021)Hybrid Query Expansion Model Based on Pseudo Relevance Feedback and Semantic Tree for Arabic IRInternational Journal of Information Retrieval Research10.4018/IJIRR.28994912:1(1-16)Online publication date: 20-Oct-2021
https://doi.org/10.4018/IJIRR.289949
Dang ELuk RAllan J(2021)A Comparison between Term-Independence Retrieval Models for Ad Hoc RetrievalACM Transactions on Information Systems10.1145/348361240:3(1-37)Online publication date: 8-Dec-2021
https://dl.acm.org/doi/10.1145/3483612
Breuer TPest MSchaer P(2021)Evaluating Elements of Web-Based Data Enrichment for Pseudo-relevance Feedback RetrievalExperimental IR Meets Multilinguality, Multimodality, and Interaction10.1007/978-3-030-85251-1_5(53-64)Online publication date: 14-Sep-2021
https://doi.org/10.1007/978-3-030-85251-1_5
Khalifi HDahir SEl Qadi AGhanou Y(2020)Enhancing information retrieval performance by using social analysisSocial Network Analysis and Mining10.1007/s13278-020-00635-w10:1Online publication date: 8-Apr-2020
https://doi.org/10.1007/s13278-020-00635-w
Liu BGuo WNiu DWang CXu SLin JLai KXu YTeredesai AKumar VLi YRosales RTerzi EKarypis G(2019)A User-Centered Concept Mining System for Query and Document Understanding at TencentProceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining10.1145/3292500.3330727(1831-1841)Online publication date: 25-Jul-2019
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Zou STao GWang JZhang WZhang DSong DLiu TSun LBruza PMelucci MSebastiani FYang G(2018)On the Equilibrium of Query Reformulation and Document RetrievalProceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval10.1145/3234944.3234962(43-50)Online publication date: 10-Sep-2018
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Keikha AEnsan FBagheri E(2018)Query expansion using pseudo relevance feedback on wikipediaJournal of Intelligent Information Systems10.1007/s10844-017-0466-350:3(455-478)Online publication date: 1-Jun-2018
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Zingla MLatiri CMulhem PBerrut CSlimani Y(2018)Hybrid query expansion model for text and microblog information retrievalInformation Retrieval Journal10.1007/s10791-017-9326-621:4(337-367)Online publication date: 3-Feb-2018
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Shaila SVadivel AShaila SVadivel A(2018)Constructing Thesaurus Using TAG Term Weight for Query Expansion in Information Retrieval ApplicationTextual and Visual Information Retrieval using Query Refinement and Pattern Analysis10.1007/978-981-13-2559-5_3(55-75)Online publication date: 30-Sep-2018
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Query dependent pseudo-relevance feedback based on wikipedia

Crowdsourcing a wikipedia vandalism corpus

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