TY - GEN
T1 - GMAP 2025: 4th Workshop on Group Modeling, Adaptation and Personalization
AU - Barile, Francesco
AU - Delić, Amra
AU - Peska, Ladislav
AU - Saccardi, Isabella
AU - Waterschoot, Cedric
PY - 2025/6/12
Y1 - 2025/6/12
N2 - 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 fourth 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 four presented papers covered a diverse range of topics: (i) an exploratory analysis of LLM applications to group meeting transcripts, (ii) an extensive review of the growing methodological divide in group recommender systems, (iii) a novel application of group modeling for personalizing public displays, and (iv) a detailed examination of prompt design for group recommendations using LLMs.
AB - 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 fourth 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 four presented papers covered a diverse range of topics: (i) an exploratory analysis of LLM applications to group meeting transcripts, (ii) an extensive review of the growing methodological divide in group recommender systems, (iii) a novel application of group modeling for personalizing public displays, and (iv) a detailed examination of prompt design for group recommendations using LLMs.
KW - Group Recommender Systems
KW - Group Formation
KW - Explainability
KW - Group Psychology
U2 - 10.1145/3708319.3727559
DO - 10.1145/3708319.3727559
M3 - Conference article in proceeding
SN - 9798400713996
T3 - UMAP Adjunct '25: Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization
SP - 308
EP - 310
BT - Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization
PB - Association for Computing Machinery
CY - New York, NY, USA
ER -