GMAP 2024: 3rd Workshop on Group Modeling, Adaptation and Personalization

Francesco Barile, Amra Delic, Ladislav Peska, Isabella Saccardi, Federica Vinella

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Abstract

While most recommender systems cater to individual users' needs, there are numerous situations where these systems are needed to meet groups' demands. These systems are broadly labelled as Group Recommender Systems (GRSys). Traits like interpersonal relationships, group mood, and emotional contagion are essential to fulfilling the group's needs. However, the group's characteristics are frequently ill-defined and dynamic and are typically absent from systems modeling. Moreover, GRSys must maneuver between the needs of the group and the individuals when opinions differ and can contradict each other. The third edition of GMAP proposes consolidating a community of scholars interested in group modeling, adaptation, and personalization. Through the workshop, researchers continue their examination of the difficulties and possibilities of creating efficient procedures and instruments to facilitate collective decision-making. GMAP 2024 offered this unique opportunity to gather scholars from different fields to enrich discussions over GRSys' research. The workshop also allowed attendees to strengthen their networks and establish new connections conducive to cutting-edge collaborative research.
Original languageEnglish
Title of host publicationUMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
PublisherAssociation for Computing Machinery (ACM)
Pages316-318
Number of pages3
ISBN (Electronic)9798400704666
DOIs
Publication statusPublished - 27 Jun 2024
Event32nd ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2024 - Cagliari, Sardinia, Italy
Duration: 1 Jul 20244 Jul 2024
https://www.um.org/umap2024/

Conference

Conference32nd ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2024
Abbreviated titleUMAP 2024
Country/TerritoryItaly
CityCagliari, Sardinia
Period1/07/244/07/24
Internet address

Keywords

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

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