A day at the races : using best arm identification algorithms to reduce the cost of information retrieval user studies

Losada, D.E., Elsweiler, D., Harvey, M. et al. (1 more author) (2022) A day at the races : using best arm identification algorithms to reduce the cost of information retrieval user studies. Applied Intelligence, 52 (5). pp. 5617-5632. ISSN 0924-669X

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Losada, D.E.
  • Elsweiler, D.
  • Harvey, M.
  • Trattner, C.
Copyright, Publisher and Additional Information:

© 2021 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Keywords: Best arm identification; User studies; Racing algorithms
Dates:
  • Published: March 2022
  • Published (online): 17 August 2021
  • Accepted: 26 July 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 05 Aug 2021 12:08
Last Modified: 10 Mar 2022 13:59
Status: Published
Publisher: Springer Nature
Refereed: Yes
Identification Number: 10.1007/s10489-021-02719-2
Open Archives Initiative ID (OAI ID):

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