IEEE ICDM International Workshop on AI for Personalization (WAIP)

November 12, 2026
Shenyang, China()

Call for Papers

Personalization, adapting products and services to individual preferences, is critical for modern digital systems. While organizations leverage large-scale personalization to enhance outcomes across marketing, healthcare, entertainment, and education, a powerful parallel trend is emerging: personalizing AI itself. Beyond customizing content, this involves tailoring an AI model's behavior, knowledge base, interaction style, values, and "personality" to align with individual users.

Concurrently, data-driven digital nudging uses interface elements and behavioral science to guide user choices without restricting options. Driven by advanced AI, ML, and DS technologies and big data, the intersection of personalization, personalized AI, and nudging offers unprecedented opportunities to influence human behavior positively.

This workshop aims to build a multidisciplinary community exploring the state of the art in AI, ML, and DS-based systems for AI-driven personalization, personalizing AI, and digital nudging. We welcome contributions from researchers and practitioners across disciplines.

Topics of interest include, but are not limited to, the following:

• Advances in personalization
• Personalization vs Individualization
• Enhancing Personalization through Individualization
• Just-In-Time Personalization
• Personalized alignment in LLMs
• Lifelong Personalization
• Parameter-efficient personalization of LLMs (adapters, prompts, user embeddings)
• User-controllable and inspectable personalization (editable memory, personalization provenance)
• Personalized personas and interaction styles (formality, tone, empathy, humor)
• Memory and forgetting mechanisms for personalized AI (episodic memory, cross-domain transfer)
• Privacy-preserving personalization (on-device, federated, differential privacy)
• Evaluation metrics for personalized AI (user agency, stability, personalization-aware win rate)
• Personalizing AI values and ethical boundaries per user (user-aligned safety, value conflict resolution)
• Theoretical foundations of nudging
• Core AI/ML topics including multi-agents, federated learning, active learning, semi-supervised learning, multi-armed bandits, contextual bandits, reinforcement learning, deep learning, transfer learning
• Multi-modal data and model fusion
• Representation learning, and embeddings
• Learning from categorical and relational data
• Feature engineering
• Statistical models, A/B testing
• Privacy and Ethical Issues in Nudging and Personalization
• Personalized nudging
• Challenges for AI in real-time nudging
• AI-driven interactions encoding behavior change solutions
• Nudging and personalization in conversational AI systems
• Knowledge injection from prior conversations into LLMs Personalization
• Ethics and Governance
• Evaluation strategies to measure the impact and effectiveness of nudging and personalization
• Applications: Healthcare, Precision Medicine, Energy, Environment, Transportation, Workforce, Education, Advertising, Government, Politics, Policy, Software Engineering

Important Dates

• August 10, 2026: Paper submission
• September 18, 2026: Acceptance notification
• October 5, 2026: Camera-ready deadline and copyright form
• November 12, 2025: Workshop

Paper Submissions

This is an open call for papers. We invite both full papers (max 8 pages) describing mature work and short papers (max 4-5 pages) describing work-in-progress or case studies. Only original and high-quality papers formatted using the IEEE 2-column format (Latex Template), including the bibliography and any possible appendices, will be considered for review.

Proceedings

All submitted papers will be evaluated by 2-3 program committee members and accepted papers will be included in an ICDM Workshop Proceedings volume, to be published by the IEEE Computer Society Press and will be included in the IEEE Xplore Digital Library. Check the workshop website for submission instructions.

Best Research/Application/Student Paper Awards

Best research, application, and student paper awards are sponsored by Lirio. The awards committee will select papers for these awards based on relevance, program committee reviews, and presentation quality.