Strong BilAI presence at UMAP 2026
16.06.2026
BilAI researchers were strongly represented at the 34th ACM International Conference on User Modeling, Adaptation and Personalization (UMAP 2026), one of the leading international venues for research on personalized and adaptive interactive systems.
The UMAP conference brings together researchers from Artificial Intelligence (AI) and Human-Computer Interaction (HCI) to advance effective human–AI collaboration through systems that can model, adapt, and personalize to their users.
BilAI researchers, including Elisabeth Lex, Tommasel, Dietmar Jannach, and Markus Schedl, actively contributed to the conference programme.
A particular highlight was the First International Workshop on User Modeling, Personalization, and Adaptive Systems for Sustainability and Social Good, co-organized by Elisabeth Lex. The workshop explored how personalization and adaptive technologies can contribute to addressing societal and sustainability challenges.
In addition, members of the BilAI consortium presented several papers and posters, showcasing current research on user modeling, recommender systems, personalization, and human-centered AI:
Meta-Learning and Targeted Differential Privacy to Improve the Accuracy-Privacy Trade-off in Recommendations by Peter Müllner, Dominik Kowald, Markus Schedl, Elisabeth Lex
Identifying Misinformation Spreaders through Multi-Source User Modeling by Roman Chervinskyy, Antonela Tommasel
From emotional hooks to conspiratorial claims: A teen-focused game for reflecting on misinformation interactions by Roman Chervinskyy, Antonela Tommasel
GMAP Workshop: Networked Tastes: Homophily for Music Recommendation by Marta Moscati, Xinwei Xu and Markus Schedl
ExUm Workshop: How Prompting Shapes LLM-Generated Explanations for Recommender Systems: A Multi-Prompt Comparison Across Domains by Hlib Oshchepkov, Antonela Tommasel
UMAP4Good Workshop: On the Sustainability of Fairness and Bias Interventions in Recommender Systems: A Simulation-based Analysis by Marlene Holzleitner, Stephan Leitner and Dietmar Jannach
LLM4Good Workshop: Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems by Andrea Forster, Peter Müllner, Denis Helic, Elisabeth Lex and Dominik Kowald
