ICDM 2025 Workshop on User Modeling and Recommendation (UMRec)

Washington DC, USA, November 12-15, 2025

ICDM 2025 Workshop on User Modeling and Recommendation (UMRec)

User modeling and recommendation systems are fundamental to advancing AI, providing critical insights into dynamic user behaviors and enabling scalable personalization. Leveraging emerging technologies like large language models (LLMs) enhances our ability to understand complex user interactions and improves recommendation precision. Addressing challenges such as algorithmic bias, decision-making transparency, and ethical deployment is essential for maintaining societal trust. Ultimately, research in this field represents a synergy of technical innovation and responsible application, driving both academic progress and impactful real-world solutions.

Call for Papers

This workshop aims to advance research and innovation in user modeling and recommendation systems, emphasizing both foundational methodologies and emerging challenges. We seek contributions that address dynamic user behavior modeling, personalization at scale, and ethical deployment of AI-driven recommendations. Key themes include leveraging advancements like large language models (LLMs) to enhance user interaction understanding, mitigating biases in recommendation algorithms, and improving transparency in decision-making processes. Additionally, we encourage submissions exploring novel evaluation frameworks and real-world applications that balance technical innovation with societal trust. The workshop provides an invaluable forum for researchers to present the latest advancements in the rapidly evolving field of recommender systems. We welcome original submissions focusing on user modeling and recommendation.

Topics

Conference topics include but are not limited to:

  • Generative Recommendation Systems
  • LLM-based Recommendation
  • Ethical, Legal, and Social Implications (ELSI) of Generative Recommendation
  • Causal Recommendation and Debiasing
  • Sequential Recommendation
  • Multi-modal and Cross-domain Recommendation
  • Explainability in AI-driven Recommendation
  • Privacy-preserving and Federated Recommendation

Paper Submission

Please submit a paper (minimum 4 pages and maximum 8 pages in IEEE double-column format) through the online submission system.

Please refer to the ICDM regular submission requirement for more information at : https://www.cloud-conf.net/icdm2023/call-for-papers.html

Paper submission link: Click here

(available soon)

Important Dates

  • TBD, 2025: Deadline for full paper submission
  • TBD, 2025: Notification of paper acceptance to authors
  • TBD, 2025: Camera-ready of accepted papers
  • TBD, 2025: Workshop dates

Organizers

  • Yanghao Xiao, University of Chinese Academy of Sciences
  • Chunyuan Zheng, Peking University
  • Hao Wang, Zhejiang University
  • Yang Zhang, National University of Singapore
  • Haoxuan Li, Peking University
  • Wenjie Wang, University of Science and Technology of China
  • Fuli Feng, University of Science and Technology of China
  • Xu Chen, Renmin University of China

Contact Information