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Using score differences for search result diversification

Authors:

Sadegh Kharazmi,

Mark Sanderson,

Falk Scholer,

David ValletAuthors Info & Claims

SIGIR '14: Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval

Pages 1143 - 1146

https://doi.org/10.1145/2600428.2609530

Published: 03 July 2014 Publication History

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Abstract

We investigate the application of a light-weight approach to result list clustering for the purposes of diversifying search results. We introduce a novel post-retrieval approach, which is independent of external information or even the full-text content of retrieved documents; only the retrieval score of a document is used. Our experiments show that this novel approach is beneficial to effectiveness, albeit only on certain baseline systems. The fact that the method works indicates that the retrieval score is potentially exploitable in diversity.

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Cited By

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Zhang RAi QWu YMa YLiu Y(2023)Result Diversification for Legal case RetrievalProceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region10.1145/3624918.3625319(158-168)Online publication date: 26-Nov-2023
https://dl.acm.org/doi/10.1145/3624918.3625319
Figuerêdo JCalumby R(2022)Unsupervised query-adaptive implicit subtopic discovery for diverse image retrieval based on intrinsic cluster qualityMultimedia Tools and Applications10.1007/s11042-022-13050-481:30(42991-43011)Online publication date: 4-May-2022
https://doi.org/10.1007/s11042-022-13050-4
Luo MYu FChen H(2020)Result Diversification in Clinical Case Reports Retrieval based on Main Finding2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C)10.1109/QRS-C51114.2020.00044(213-220)Online publication date: Dec-2020
https://doi.org/10.1109/QRS-C51114.2020.00044
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Index Terms

Using score differences for search result diversification
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing
    2. Retrieval models and ranking

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Published In

SIGIR '14: Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval

July 2014

1330 pages

ISBN:9781450322577

DOI:10.1145/2600428

General Chairs:
Shlomo Geva
Queensland University of Technology
,
Andrew Trotman
University of Dunedin
,
Program Chairs:
Peter Bruza
Queensland University of Technology
,
Charles L.A. Clarke
University of Waterloo
,
Kal Järvelin
University of Tampere

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: 03 July 2014

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Australian Research Council
National ICT Australia (NICTA) Victoria
National ICT Australia (NICTA) VICTORIA

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SIGIR '14

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SIGIR

SIGIR '14: The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval

July 6 - 11, 2014

Queensland, Gold Coast, Australia

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SIGIR '14 Paper Acceptance Rate 82 of 387 submissions, 21%;

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

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Zhang RAi QWu YMa YLiu Y(2023)Result Diversification for Legal case RetrievalProceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region10.1145/3624918.3625319(158-168)Online publication date: 26-Nov-2023
https://dl.acm.org/doi/10.1145/3624918.3625319
Figuerêdo JCalumby R(2022)Unsupervised query-adaptive implicit subtopic discovery for diverse image retrieval based on intrinsic cluster qualityMultimedia Tools and Applications10.1007/s11042-022-13050-481:30(42991-43011)Online publication date: 4-May-2022
https://doi.org/10.1007/s11042-022-13050-4
Luo MYu FChen H(2020)Result Diversification in Clinical Case Reports Retrieval based on Main Finding2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C)10.1109/QRS-C51114.2020.00044(213-220)Online publication date: Dec-2020
https://doi.org/10.1109/QRS-C51114.2020.00044
Klavdianos CMakris C(2018)Diversifying Search Engine ResultsProceedings of the 10th Hellenic Conference on Artificial Intelligence10.1145/3200947.3201053(1-4)Online publication date: 9-Jul-2018
https://dl.acm.org/doi/10.1145/3200947.3201053
Yang YChen HLu WAyala BChen JGonçalves MAllen JFox EKan MPetras V(2018)Diversifying Citation Contexts in Academic Literature for Knowledge RecommendationProceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries10.1145/3197026.3203904(397-398)Online publication date: 23-May-2018
https://dl.acm.org/doi/10.1145/3197026.3203904
Xu CWu SLui JWang XWolf ALiu YHu C(2017)The early fusion strategy for search result diversificationProceedings of the ACM Turing 50th Celebration Conference - China10.1145/3063955.3064803(1-6)Online publication date: 12-May-2017
https://dl.acm.org/doi/10.1145/3063955.3064803
Xu CChen TWu S(2016)Performance evaluation of search result diversification methods and their stability2016 3rd International Conference on Systems and Informatics (ICSAI)10.1109/ICSAI.2016.7811047(721-726)Online publication date: Nov-2016
https://doi.org/10.1109/ICSAI.2016.7811047
Wu YLi JZhang PSong D(2016)Learning to Improve Affinity Ranking for Diversity SearchInformation Retrieval Technology10.1007/978-3-319-48051-0_28(335-341)Online publication date: 15-Oct-2016
https://doi.org/10.1007/978-3-319-48051-0_28
Santos RMacdonald COunis I(2015)Search Result DiversificationFoundations and Trends in Information Retrieval10.1561/15000000409:1(1-90)Online publication date: 1-Mar-2015
https://dl.acm.org/doi/10.1561/1500000040

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A Survival Modeling Approach to Biomedical Search Result Diversification Using Wikipedia

Search result diversification via data fusion

Search result diversification using data envelopment analysis

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