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GMAP 2026: 5th Workshop on Group Modeling, Adaptation and Personalization

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

Abstract

Group Recommender Systems (GRSys) are designed to recommend items that address the needs of groups of people. Compared to individual users, groups are dynamic entities where interpersonal relationships, group dynamics, emotional contagion, etc., substantially affect the group's needs. Nevertheless, these characteristics are often poorly defined or overlooked in system modeling. The fifth GMAP workshop brought together a community of scholars focused on group modeling, adaptation, and personalization. The event was dedicated to exploring the challenges and opportunities of supporting collective decision-making, fostering interdisciplinary dialogue, and forging new collaborations. The three presented papers covered a diverse range of topics, revisiting assumptions about similarity, task definitions, and fairness perception in particular scenarios within the realm of group modeling, adaptation, and personalization.
Original languageUndefined/Unknown
Title of host publicationUmap 2026 Proceedings of the 34th ACM International Conference on User Modeling Adaptation and Personalization
PublisherAssociation for Computing Machinery, Inc
Pages680-683
Number of pages4
DOIs
Publication statusPublished - 7 Jun 2026

Keywords

  • Explainability
  • Group Formation
  • Group Psychology
  • Group Recommender Systems

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