short-paper

QFinder: A Framework for Quantity-centric Ranking

Authors:

Satya Almasian,

Milena Bruseva,

Michael GertzAuthors Info & Claims

SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Pages 3272 - 3277

https://doi.org/10.1145/3477495.3531672

Published: 07 July 2022 Publication History

Abstract

Quantities shape our understanding of measures and values, and they are an important means to communicate the properties of objects. Often, search queries contain numbers as retrieval units, e.g., "iPhone that costs less than 800 Euros''. Yet, modern search engines lack a proper understanding of numbers and units. In queries and documents, search engines handle them as normal keywords and therefore are ignorant of relative conditions between numbers, such as greater than or less than, or, more generally, the numerical proximity of quantities. In this work, we demonstrate QFinder, our quantity-centric framework for ranking search results for queries with quantity constraints. We also open-source our new ranking method as an Elasticsearch plug-in for future use. Our demo is available at: https://qfinder.ifi.uni-heidelberg.de/

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Cited By

Gu YCao JQian SZhu NGuan W(2024)ProSwats: A Proxy-based Scientific Workflow Retrieval Approach by Bridging the Gap between Textual and Structural Semantics2024 IEEE International Conference on Web Services (ICWS)10.1109/ICWS62655.2024.00111(932-943)Online publication date: 7-Jul-2024
https://doi.org/10.1109/ICWS62655.2024.00111
Rybinski MWan SKarimi SParis CJin BHuth NThorburn PHolzworth DChen HDuh WHuang HKato MMothe JPoblete B(2023)SciHarvester: Searching Scientific Documents for Numerical ValuesProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591808(3135-3139)Online publication date: 19-Jul-2023
https://dl.acm.org/doi/10.1145/3539618.3591808

Index Terms

QFinder: A Framework for Quantity-centric Ranking
1. Information systems
  1. Information retrieval
    1. Retrieval models and ranking
      1. Novelty in information retrieval

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cover image ACM Conferences

SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

July 2022

3569 pages

ISBN:9781450387323

DOI:10.1145/3477495

General Chairs:
Enrique Amigo
UNED
,
Pablo Castells
UAM and Amazon
,
Julio Gonzalo
UNED
,
Program Chairs:
Ben Carterette
Spotify
,
J. Shane Culpepper
RMIT University
,
Gabriella Kazai
Waseda University

Copyright © 2022 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 the author(s) 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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New York, NY, United States

Publication History

Published: 07 July 2022

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SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

July 11 - 15, 2022

Madrid, Spain

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Cited By

Gu YCao JQian SZhu NGuan W(2024)ProSwats: A Proxy-based Scientific Workflow Retrieval Approach by Bridging the Gap between Textual and Structural Semantics2024 IEEE International Conference on Web Services (ICWS)10.1109/ICWS62655.2024.00111(932-943)Online publication date: 7-Jul-2024
https://doi.org/10.1109/ICWS62655.2024.00111
Rybinski MWan SKarimi SParis CJin BHuth NThorburn PHolzworth DChen HDuh WHuang HKato MMothe JPoblete B(2023)SciHarvester: Searching Scientific Documents for Numerical ValuesProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591808(3135-3139)Online publication date: 19-Jul-2023
https://dl.acm.org/doi/10.1145/3539618.3591808

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