Event

ACM RecSys 2025

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🎉 Join Us for ACM RecSys 2025 – The Premier Conference on Recommender Systems!

📍 Location: Prague, Czech Republic
📅 Dates: September 22–26, 2025
🌐 Website: https://recsys.acm.org/recsys25/

🚀 About RecSys 2025
The ACM Conference on Recommender Systems (RecSys 2025) is the leading international venue for research, development, and application of personalization and recommender systems. Bringing together top researchers, industry leaders, and practitioners, RecSys is the key event for cutting-edge innovations in AI-driven recommendations.

💡 What to Expect:
🔹 Keynote talks from leading experts in AI and recommender systems
🔹 Presentations on state-of-the-art research and industry applications
🔹 Hands-on tutorials and interactive workshops on the latest trends
🔹 A dedicated industry track showcasing real-world deployments
🔹 A doctoral consortium supporting early-career researchers
🔹 Many opportunities for networking and collaboration

✨ Who Should Attend?
🔹 Academics & Researchers exploring new frontiers in recommender systems from a policy, sustainability, fairness, computational, economic, societal, human- or user-centered perspective
🔹 Industry Practitioners applying RecSys in real-world applications
🔹 Data Scientists, AI Engineers, and Product Managers working on personalization
🔹 Students & PhD Candidates looking to connect with top researchers and mentors

📅 Important Dates:
🔹 Full Paper Abstracts Due: April 1, 2025
🔹 Full Papers Due: April 8, 2025
🔹 Industry Papers Due: May 15, 2025
🔹 Short Papers Due: April 29, 2025
🔹 Workshops & Tutorials: Various deadlines apply

✅ In-Person Conference
RecSys 2025 is an in-person event in Prague, where attendees will have the opportunity to network, collaborate, and engage in live discussions.

📢 Stay Connected!
Follow us for updates on calls for papers, speakers, and program highlights:
🔗 https://www.linkedin.com/company/4994470/

💙 Join us in Prague for an exciting week of innovation in recommender systems!

#RecSys2025 #AI #MachineLearning #RecommenderSystems #Personalization
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