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De-centering the (Traditional) user: Multistakeholder evaluation of recommender systems

  • Robin Burke
    ,
  • Gediminas Adomavicius
    ,
  • ,
  • Tommaso Di Noia
    ,
  • Dominik Kowald
    ,
  • Julia Neidhardt
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Open access

Publication Information

Output type

Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Original language

English

Journal (Volume, Issue Number)

International Journal of Human-Computer Studies (Volume 203, Issue 103560)

Publication milestones

  • Published - 09/2025

Publication status

Published - 09/2025

ISSN

1071-5819

Publication IDs

  • ORCID: /0000-0003-0716-676X/work/188659960
  • Scopus: 105011588139

Abstract

Multistakeholder recommender systems are those that account for the impacts and preferences of multiple groups of individuals, not just the end users receiving recommendations. Due to their complexity, these systems cannot be evaluated strictly by the overall utility of a single stakeholder, as is often the case of more mainstream recommender system applications. In this article, we focus our discussion on the challenges of multistakeholder evaluation of recommender systems. We bring attention to the different aspects involved—from the range of stakeholders involved (including but not limited to providers and consumers) to the values and specific goals of each relevant stakeholder. We discuss how to move from theoretical principles to practical implementation, providing specific use case examples. Finally, we outline open research directions for the RecSys community to explore. We aim to provide guidance to researchers and practitioners about incorporating these complex and domain-dependent issues of evaluation in the course of designing, developing, and researching applications with multistakeholder aspects.

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Citations
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Captures
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