CFP summary
RecSys 2026 is the 20th ACM Conference on Recommender Systems, the main ACM venue dedicated to personalized recommendation technologies and their applications. The conference gathers researchers and practitioners from machine learning, information retrieval, human-computer interaction, digital platforms, and applied data science. The 2026 edition in Minneapolis continues the conference’s role in advancing both the algorithmic foundations and real-world deployment of recommendation, personalization, and user-facing intelligent systems.
Topics
Recommendation algorithms; personalization and ranking; user modeling and behavior analysis; sequential, session-based and interactive recommendation; explainability, fairness and responsibility in recommender systems; evaluation methodologies and benchmarks; industrial recommender applications; multimodal, graph and knowledge-aware recommendation; trustworthy and privacy-aware personalization.