research-article

Query Suggestions as Summarization in Exploratory Search

Authors:

Dorota GłowackaAuthors Info & Claims

CHIIR '21: Proceedings of the 2021 Conference on Human Information Interaction and Retrieval

Pages 119 - 128

https://doi.org/10.1145/3406522.3446020

Published: 14 March 2021 Publication History

Abstract

Query suggestions have been shown to benefit users performing information retrieval tasks. In exploratory search, however, users may lack the necessary domain knowledge to assess the relevance of query suggestions with respect to their information needs. In this article, we investigate the use of alternative queries in exploratory search. Alternative queries are queries that would retrieve similar search results to those currently visible on-screen. They are independent of the original search query and can, therefore, be updated dynamically as users scroll through search results. In addition to being follow-on queries, alternative queries serve as keyword summaries of the current search results page to help users assess whether results are inline with their search intents. We investigated the use of alternative queries in scientific literature search and their impact on user behavior and perception. In a user study, participants inspected half as many documents per query when alternative queries were present, but were exposed to over 40% more search results overall. Despite using them extensively as follow-on queries, user feedback focused on the summarization properties offered by alternative queries; finding it reassuring that documents were relevant to their search goals.

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Cited By

Medlar AKotkov DGłowacka D(2024)Unexplored Frontiers: A Review of Empirical Studies of Exploratory SearchACM SIGIR Forum10.1145/3687273.368727858:1(1-19)Online publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1145/3687273.3687278
Liu YMedlar AGłowacka D(2024)Sample, Nudge and Rank: Exploiting Interpretable GAN Controls for Exploratory SearchProceedings of the 29th International Conference on Intelligent User Interfaces10.1145/3640543.3645156(582-596)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1145/3640543.3645156
Sebastian RBoratto LGena CMarras MGermanakos PPopescus E(2024)Adaptive Search Support for Teachers in Lesson PlanningAdjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization10.1145/3631700.3664921(20-24)Online publication date: 27-Jun-2024
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Index Terms

Query Suggestions as Summarization in Exploratory Search
1. Information systems
  1. Information retrieval

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cover image ACM Conferences

CHIIR '21: Proceedings of the 2021 Conference on Human Information Interaction and Retrieval

March 2021

384 pages

ISBN:9781450380553

DOI:10.1145/3406522

General Chairs:
Falk Scholer
RMIT University, Australia
,
Paul Thomas
Paul Thomas (Microsoft, Australia
,
Program Chairs:
David Elsweiler
University of Regensburg, Germany
,
Hideo Joho
University of Tsukuba, Japan
,
Noriko Kando
National Institute of Informatics, Japan
,
Catherine Smith
Kent State University, USA

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Published: 14 March 2021

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CHIIR '21: ACM SIGIR Conference on Human Information Interaction and Retrieval

March 14 - 19, 2021

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Overall Acceptance Rate 55 of 163 submissions, 34%

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Cited By

Medlar AKotkov DGłowacka D(2024)Unexplored Frontiers: A Review of Empirical Studies of Exploratory SearchACM SIGIR Forum10.1145/3687273.368727858:1(1-19)Online publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1145/3687273.3687278
Liu YMedlar AGłowacka D(2024)Sample, Nudge and Rank: Exploiting Interpretable GAN Controls for Exploratory SearchProceedings of the 29th International Conference on Intelligent User Interfaces10.1145/3640543.3645156(582-596)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1145/3640543.3645156
Sebastian RBoratto LGena CMarras MGermanakos PPopescus E(2024)Adaptive Search Support for Teachers in Lesson PlanningAdjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization10.1145/3631700.3664921(20-24)Online publication date: 27-Jun-2024
https://dl.acm.org/doi/10.1145/3631700.3664921
Hoeber OBezanjani AGomes SErfani BNoorally ZShah Y(2024)Visual Keyword/Result Linking: Using Interaction to Dynamically Reveal RelationshipsProceedings of the 2024 Conference on Human Information Interaction and Retrieval10.1145/3627508.3638307(66-76)Online publication date: 10-Mar-2024
https://dl.acm.org/doi/10.1145/3627508.3638307
Huchard MMartin PMuller EPoncelet PRaveneau VSallaberry A(2024)RCAvizInternational Journal of Approximate Reasoning10.1016/j.ijar.2024.109123166:COnline publication date: 1-Mar-2024
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Huang ZYuan L(2024)Enhancing learning and exploratory search with concept semantics in online healthcare knowledge management systems: An interactive knowledge visualization approachExpert Systems with Applications10.1016/j.eswa.2023.121558237(121558)Online publication date: Mar-2024
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Mysore SJasim MSong HAkbar SRandall AMahyar N(2023)How Data Scientists Review the Scholarly LiteratureProceedings of the 2023 Conference on Human Information Interaction and Retrieval10.1145/3576840.3578309(137-152)Online publication date: 19-Mar-2023
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Payandeh MBoon MStorie DRamshaw VHoeber O(2023)Drag-and-Drop Query Refinement and Query History Visualization for Mobile Exploratory SearchProceedings of the 2023 Conference on Human Information Interaction and Retrieval10.1145/3576840.3578282(432-437)Online publication date: 19-Mar-2023
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Li PZhang YZhang B(2022)Understanding Query Combination Behavior in Exploratory SearchesApplied Sciences10.3390/app1202070612:2(706)Online publication date: 11-Jan-2022
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Sato S(2022)Organizing Search Results into a Table to Assist in Understanding and Expanding Search Target2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)10.1109/WI-IAT55865.2022.00048(282-287)Online publication date: Nov-2022
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