NORMalize 2024: The Second Workshop on Normative Design and Evaluation of Recommender Systems

Recommender systems are among the most widely used applications of artificial intelligence. Their use can have far-reaching consequences for users, stakeholders, and society at large. In this second edition of the NORMalize workshop, we once again seek to advance the research agenda of normative thinking, considering the norms and values that underpin recommender systems, as well as to introduce the concept to a broader audience. We aim to bring together a growing community of researchers and practitioners across disciplines who want to think about the norms and values that should be considered in the design and evaluation of recommender systems, and to further educate them on how to reflect on, prioritise, and operationalise such norms and values. NORMalize 2024 is a half-day workshop consisting of a combination of paper presentations and an interactive session, building upon its successful full-day run last year at RecSys’23.

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Publication Details

Published
2024-10-08
DOI
https://doi.org/10.1145/3640457.3687103
Citations
1
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
0.78

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NORMalize 2024: The Second Workshop on Normative Design and Evaluation of Recommender Systems

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NORMalize 2024: The Second Workshop on Normative Design and Evaluation of Recommender Systems

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article en
1 citations

Abstract

Recommender systems are among the most widely used applications of artificial intelligence. Their use can have far-reaching consequences for users, stakeholders, and society at large. In this second edition of the NORMalize workshop, we once again seek to advance the research agenda of normative thinking, considering the norms and values that underpin recommender systems, as well as to introduce the concept to a broader audience. We aim to bring together a growing community of researchers and practitioners across disciplines who want to think about the norms and values that should be considered in the design and evaluation of recommender systems, and to further educate them on how to reflect on, prioritise, and operationalise such norms and values. NORMalize 2024 is a half-day workshop consisting of a combination of paper presentations and an interactive session, building upon its successful full-day run last year at RecSys’23.

Vrije Universiteit Brussel (BE), University of Antwerp (BE), Maastricht University (NL), University of Bergen (NO), University of Amsterdam (NL), Technical University of Denmark (DK)
Fonds Wetenschappelijk Onderzoek, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Norges Forskningsråd, Vlaamse regering, Ministerie van Economische Zaken en Klimaat
Openalex Percentile: Top 20%
Recommender Systems and Techniques
0.78
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