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Towards interactive query expansion

Author:

D. HarmanAuthors Info & Claims

SIGIR '88: Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 321 - 331

https://doi.org/10.1145/62437.62469

Published: 01 May 1988 Publication History

Abstract

In an era of online retrieval, it is appropriate to offer guidance to users wishing to improve their initial queries. One form of such guidance could be short lists of suggested terms gathered from feedback, nearest neighbors, and term variants of original query terms. To verify this approach, a series of experiments were run using the Cranfield test collection to discover techniques to select terms for these lists that would be effective for further retrieval. The results show that significant improvement can be expected from this approach to query expansion.

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Digital Library

Cited By

Lee SSheetrit EAlonso OMejer A(2024)Product Query Recommendation for Enriching Suggested Q&AsProceedings of the 2024 Conference on Human Information Interaction and Retrieval10.1145/3627508.3638314(352-357)Online publication date: 10-Mar-2024
https://dl.acm.org/doi/10.1145/3627508.3638314
Sheetrit ERaiber FKurland OYoshioka MKiseleva JAliannejadi M(2023)Entity-Based Relevance Feedback for Document RetrievalProceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval10.1145/3578337.3605128(177-187)Online publication date: 9-Aug-2023
https://dl.acm.org/doi/10.1145/3578337.3605128
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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Index Terms

Towards interactive query expansion
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing
2. Software and its engineering
  1. Software notations and tools
    1. Development frameworks and environments

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Published In

cover image ACM Conferences

SIGIR '88: Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval

May 1988

677 pages

ISBN:2706103094

DOI:10.1145/62437

Editor:
Yves Chiaramella
LGI-IMAG, Grenoble, France

Copyright © 1988 ACM.

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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SIGIR: ACM Special Interest Group on Information Retrieval

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 May 1988

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Cited By

Lee SSheetrit EAlonso OMejer A(2024)Product Query Recommendation for Enriching Suggested Q&AsProceedings of the 2024 Conference on Human Information Interaction and Retrieval10.1145/3627508.3638314(352-357)Online publication date: 10-Mar-2024
https://dl.acm.org/doi/10.1145/3627508.3638314
Sheetrit ERaiber FKurland OYoshioka MKiseleva JAliannejadi M(2023)Entity-Based Relevance Feedback for Document RetrievalProceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval10.1145/3578337.3605128(177-187)Online publication date: 9-Aug-2023
https://dl.acm.org/doi/10.1145/3578337.3605128
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
https://dl.acm.org/doi/10.1145/3576840.3578282
Kurland OTennenholtz MAmigo ECastells PGonzalo JCarterette BCulpepper JKazai G(2022)Competitive SearchProceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3477495.3532771(2838-2849)Online publication date: 6-Jul-2022
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Robertson RJiang SLazer DWilson CBoldi PWelles BKinder-Kurlanda KWilson CPeters IMeira W(2019)Auditing AutocompleteProceedings of the 10th ACM Conference on Web Science10.1145/3292522.3326047(235-244)Online publication date: 26-Jun-2019
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Niu XFan XZhang T(2019)Understanding Faceted Search from Data Science and Human Factor PerspectivesACM Transactions on Information Systems10.1145/328410137:2(1-27)Online publication date: 11-Jan-2019
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Kim HChoi DDrake BEndert APark H(2019)TopicSifter: Interactive Search Space Reduction through Targeted Topic Modeling2019 IEEE Conference on Visual Analytics Science and Technology (VAST)10.1109/VAST47406.2019.8986922(35-45)Online publication date: Oct-2019
https://doi.org/10.1109/VAST47406.2019.8986922
Bhardwaj ABlarer ACudre-Mauroux PLenders VMotik BTanner ATonon A(2019)Event Detection on Microposts: a Comparison of Four ApproachesIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2019.2944815(1-1)Online publication date: 2019
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