Consensus vs. Dissent: Dynamic LLM Modeling of Subjective Preferences in Group Recommenders

Authors: Waterschoot, Cedric, Tintarev, Nava, Barile, Francesco

Source: Proceedings of the 20th ACM Conference on Recommender Systems. :135-144

Availability: http://dl.acm.org/doi/10.1145/3773078.3831775

GroupRec: A Unified Toolkit for Reproducible and Inspectable Group Recommendation Research

Authors: Dokoupil, Patrik, Boratto, Ludovico, Peska, Ladislav

Source: Proceedings of the 20th ACM Conference on Recommender Systems. :1808-1810

Availability: http://dl.acm.org/doi/10.1145/3773078.3841268

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

Authors: Barile, Francesco, Delić, Amra, Peska, Ladislav, Waterschoot, Cedric

Source: Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization. :680-683

Availability: http://dl.acm.org/doi/10.1145/3774935.3802535

Towards An Agentic Conversational Approach to Group Recommender Systems

Authors: Karahodža, Esma

Source: Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization. :643-646

Availability: http://dl.acm.org/doi/10.1145/3774935.3803069

Who is the Fairest of Them All? Using Large Language Models for Fairness Assessments

Authors: Waterschoot, Cedric, Tintarev, Nava, Barile, Francesco

Source: Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization. :567-570

Availability: http://dl.acm.org/doi/10.1145/3774935.3812703

Match-it: Group Recommendations in the Age of Mobile Applications

Authors: Kříž, Ondřej, Dokoupil, Patrik, Peška, Ladislav

Source: Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization. :510-512

Availability: http://dl.acm.org/doi/10.1145/3774935.3812728

FIRE: A Modular Framework for Prototyping and Evaluating Interactive Recommender Explanations

Authors: Maes, Ulysse, Waterschoot, Cedric, Barile, Francesco, Tintarev, Nava

Source: Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization. :484-486

Availability: http://dl.acm.org/doi/10.1145/3774935.3812720

BeHAVE: Synthetic Data Generator for Group Recommender Systems

Authors: Mokhtari, Yacine, Smits, Gregory

Source: 2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI) ICTAI Tools with Artificial Intelligence (ICTAI), 2025 IEEE 37th International Conference on. :622-629 Nov, 2025

Relation: 2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI)

Consistent Explainers or Unreliable Narrators? Understanding LLM-generated Group Recommendations

Authors: Waterschoot, Cedric, Tintarev, Nava, Barile, Francesco

Source: Proceedings of the Nineteenth ACM Conference on Recommender Systems. :539-544

Availability: http://dl.acm.org/doi/10.1145/3705328.3748015

SAGEA: Sparse Autoencoder-based Group Embeddings Aggregation for Fairness-Preserving Group Recommendations

Authors: Koštejn, Vít, Peška, Ladislav, Spišák, Martin

Source: Proceedings of the Nineteenth ACM Conference on Recommender Systems. :1290-1295

Availability: http://dl.acm.org/doi/10.1145/3705328.3759322

Conceptual Framework for Group Dynamics Modeling from Group Chat Interactions

Authors: Karahodža, Esma, Delić, Amra, Ricci, Francesco

Source: Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. :23-27

Availability: http://dl.acm.org/doi/10.1145/3708319.3733682

The Pitfalls of Growing Group Complexity: LLMs and Social Choice-Based Aggregation for Group Recommendations

Authors: Waterschoot, Cedric, Tintarev, Nava, Barile, Francesco

Source: Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. :322-330

Availability: http://dl.acm.org/doi/10.1145/3708319.3733659

Bridging the Rift: A Critical Perspective on the Divergence in Group Recommender Systems Research

Authors: Peska, Ladislav, Delic, Amra, Barile, Francesco, Dokoupil, Patrik

Source: Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. :311-316

Availability: http://dl.acm.org/doi/10.1145/3708319.3733658

Effects of Quantitative Explanations on Fairness Perception in Group Recommender Systems

Authors: Dokoupil, Patrik, Peska, Ladislav

Source: Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. :285-289

Availability: http://dl.acm.org/doi/10.1145/3699682.3728335

With Friends Like These, Who Needs Explanations? Evaluating User Understanding of Group Recommendations

Authors: Waterschoot, Cedric, Yera Toledo, Raciel, Tintarev, Nava, Barile, Francesco

Source: Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. :253-262

Availability: http://dl.acm.org/doi/10.1145/3699682.3728345

Consistent Explainers or Unreliable Narrators: Systematic Differences in Consistency and Sensitivity Across Large Language Models for Group Recommendations

Authors: Waterschoot, Cedric, Tintarev, Nava, Barile, Francesco

Source: ACM Transactions on Recommender Systems.

Availability: http://dl.acm.org/doi/10.1145/3848640

Fairness-Accuracy Trade-Offs in Group Recommendations: A Nash Bargaining Approach

Authors: Faruqui, Tazkia Binty^Aff13, Stratigi, Maria^Aff13, Stefanidis, Kostas^Aff13

Contributors: Li, Gang, Series Editor^Aff1, Filipe, Joaquim, Series Editor^Aff2, Xu, Zhiwei, Series Editor^Aff3, Vargas Solar, Genoveva, editor^Aff4, Stefanidis, Kostas, editor^Aff5, Palpanas, Themis, editor^Aff6, Marcel, Patrick, editor^Aff7, Halfeld-Ferrari, Mirian, editor^Aff8, Vassiliadis, Panos, editor^Aff9, Welzer, Tatjana, editor^Aff10, Gallinucci, Enrico, editor^Aff11, Peralta, Veronika, editor^Aff12

Source: New Trends in Database and Information Systems : ADBIS 2026 Short Papers, Workshops and Doctoral Consortium, Orléans, France, September 28 – October 1, 2026, Proceedings. 3175:425-441

GMAP 2025: 4th Workshop on Group Modeling, Adaptation and Personalization

Authors: Barile, Francesco, Delić, Amra, Peska, Ladislav, Saccardi, Isabella, Waterschoot, Cedric

Source: Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. :308-310

Availability: http://dl.acm.org/doi/10.1145/3708319.3727559

Modeling users preferences in online social networks

Authors: Recalde, Lorena

Contributors: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: Baeza-Yates, Ricardo, Nettleton, David F.

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Xarxes socials online, Modelatge de preferències d'usuaris, Personalització, Sistemes de recomanació, Detecció de grups, Word embeddings, Modelatge de tòpics, Anàlisi de xarxes socials, Clustering d'usuaris, Detecció de comunitats, Propagació de la informació, Redes sociales online, Personalización, Sistemas de recomendación, Detección de grupos, Sistemas de recomendación para grupos, Modelamiento de tópicos, Análisis de redes sociales, Clustering de usuarios, Detección de comunidades, Propagación de la información, Online social networks, User preferences model, Personalization, Recommender systems, Group detection, Group recommender systems, Topic model, Social network analysis, Users clustering, Community detection

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/663756

A Preliminary Analysis on Self and Peer Evaluation of Personality Models for Recommender Systems

Authors: Barile, Francesco, Cau, Federico Maria, Tintarev, Nava

Source: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization. :70-74

Availability: http://dl.acm.org/doi/10.1145/3631700.3664864