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12th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'25)

  • Peter Brusilovsky
  • , Alexander Felfernig
  • , Pasquale Lops
  • , Marco Polignano
  • , Giovanni Semeraro
  • , Martijn Willemsen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

53 Downloads (Pure)

Abstract

The 12th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'25) takes a user-centric perspective on recommender systems research. It brings together an interdisciplinary community of researchers and practitioners who explore a range of important issues on the "user side"of recommender systems, including user studies, psychology-informed design of RSs, novel interfaces, and evaluation methodologies. Its purpose is to identify critical challenges and emerging topics with a strong focus on fundamental historical challenges in the field. In this summary, we introduce the motivation and perspective of the workshop, review its history, and discuss the most critical issues that deserve attention for future research directions.

Original languageEnglish
Title of host publicationRecSys '25
Subtitle of host publicationProceedings of the Nineteenth ACM Conference on Recommender Systems
EditorsMaria Bielikova, Pavel Kordik, Markus Schedl, Marco de Gemmis, Sole Pera, Rodrigo Alves, Olivier Jeunen, Vito Ostuni
Place of PublicationNew York
PublisherAssociation for Computing Machinery, Inc.
Pages1357-1359
Number of pages3
ISBN (Electronic)979-8-4007-1364-4
DOIs
Publication statusPublished - 7 Aug 2025
Event19th ACM Conference on Recommender Systems, RecSys 2025 - Prague, Czech Republic
Duration: 22 Sept 2025 → 26 Sept 2025

Conference

Conference19th ACM Conference on Recommender Systems, RecSys 2025
Country/TerritoryCzech Republic
CityPrague
Period22/09/25 → 26/09/25

Bibliographical note

Publisher Copyright:
© 2025 Copyright held by the owner/author(s).

Keywords

  • Decision Biases
  • Evaluation Methods
  • Human Decision Making
  • Human-Centered AI
  • Human-Computer Interaction
  • Recommender Systems
  • User Interfaces

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