Dear all, I am pleased to announce the preliminary call for papers for the 33rd ACM International Conference on User Modeling, Adaptation and Personalization in New York, USA, June 16 - 20 2025. ACM UMAP is the premier international conference bringing together research in AI and HCI to support effective human-AI collaboration via interactive systems that can model, adapt and personalize to their users. For all the details of this CfP, scroll down in this email or visit: https://www.um.org/umap2025/call-for-papers/. On behalf of the UMAP 2025 Organizing Committee, Kind regards, Alain Starke =============== PRELIMINARY CALL FOR FULL AND SHORT PAPERS We are pleased to invite you to contribute your original research to UMAP 2025: LONG PAPERS should report on substantial contributions of lasting value. The maximum length is 8 pages, excluding references in the ACM Double-Column Format. SHORT PAPERS typically discuss exciting new work that is not yet mature enough for a long paper. The maximum length is 4 pages, excluding references in the ACM Double-Column Format. ============== IMPORTANT DATES **Full and Short Papers** Abstract submission deadline: January 23, 2025 Paper submission deadline: January 30, 2025 Author Rebuttal Period: March 3-7, 2025 Author Notification: March 20, 2025 Camera-ready version deadline: April 3, 2025 Deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth) time zone. ============== TOPICS OF INTEREST Topics of interest for UMAP 2025 include but are not limited to: * Recommender systems * Data mining techniques for user modeling, adaptation, and personalization * Generative AI techniques for user modeling, adaptation, and personalization * Large Language Models and Natural Language Processing methods for user modeling, adaptation and personalization * Knowledge graphs, Linked data, and semantics for user modeling, adaptation, and personalization * Intelligent user interfaces * Intelligent and personalized e-learning applications and educational games * Personalized behavior change and persuasive applications * Modeling and adapting to human affective states * Virtual assistants, conversational agents, personalization in augmented reality * Group modeling and collaborative team formation * Ethical issues of personalization and human-centered AI systems: Privacy, Fairness, Accountability, Transparency * Creativity in User Modeling, Adaptation and Personalization * Sustainability-aware methods and Sustainable Development Goals (SDGs) for user modeling, adaptation, and personalization * Personalized approaches for preventing eco-chambers, user manipulation, and disinformation * Research methods and reproducibility ============== IMPORTANT NOTES The peer review process is mutually anonymous (double-blind). Each paper should not be previously published or accepted to any peer-reviewed journal or conference, nor currently under review elsewhere.