Dear Colleagues, *The future of recommendation is adaptive. Are you building it?* We invite you to submit your work to the Online & Adaptive Recommender System (OARS) Workshop — co-located with ACM RecSys 2026 on September 28, 2026. Static user profiles are out. Real-time personalization, agentic AI, and LLM-powered systems are in. Join researchers and practitioners from Google DeepMind, Workday, Lyft, Walmart, Indeed, UC San Diego, Emory, and more — shaping where recommender systems go next. *📌 Topics of Interest* *Track* *Topics* 🤖 Agentic RecSys Assistant interfaces, memory systems, tool-use, LLMs as tokenizers, multi-modal 🔄 Online & Interactive Learning Continual learning, RL, bandits, session-aware, conversational ⚙️ System Architecture Streaming, event-driven, RAG-based, real-world deployments 🛡️ Robustness Cold-start, distribution shift, data sparsity 📊 Evaluation & Causality Off-policy evaluation, causal inference, explainability ⚖️ Privacy & Ethics Fairness, user welfare, ethical guardrails *📅 Important Dates* *Date* 📝 Submissions Due July 20, 2026 📬 Acceptance Notification August 14, 2026 📄 Camera-Ready August 28, 2026 🎉 Workshop Day September 28, 2026 *📬 How to Submit* • Format: ACM SIG proceedings template (two-column) • Submissions must be unpublished and not under review elsewhere • At least one author must attend in person *• Portal: https://easychair.org/my/conference?conf=recsys2026workshops <https://easychair.org/my/conference?conf=recsys2026workshops>* *👥 Organizing Team* Xiquan Cui (Workday) · Derek Cheng (Google DeepMind) · Tao Ye (Lyft) · Vachik Dave (Walmart Global Tech) · Stephen Guo (Indeed) · Fei Liu (Emory University) · Julian McAuley (UC San Diego) 💬 Questions: workshop.oars@gmail.com *🌐 https://oars-workshop.github.io/ <https://oars-workshop.github.io/>* *We can't wait to see what you're building. Submit by July 20!* Best. *-- OARS Organizers.*