Recsys 2025 keynote by Xavier Amatriain

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Video

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References

• The perceptron: A probabilistic model for information storage and organization in the brain.< (1957)
• Perceptrons (1969)
• The MovieLens Datasets: History and Context (2015)
• The Netflix Prize (2007)
• Lessons from the Netflix prize challenge (2007)
• Netflix Recommendations: Beyond the 5 stars (2012)
• Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering (2010)
• Distributed Neural Networks with GPUs in the AWS Cloud (2014)
• The Recommender Problem Revisited (2014)
• Scalable collaborative filtering using cluster-based smoothing (2005)
• Why Does Unsupervised Pre-training Help Deep Learning? (2010)
• Building high-level features using large scale unsupervised learning (2011)
• Deep Neural Networks for YouTube Recommendations (2016)
• Mastering the game of Go without human knowledge (2017)
• Attention is All you Need (2017)
• The Age of AI has begun (2023)
• Large Language Models: A Survey (2024)
• Prompt Design and Engineering: Introduction and Advanced Methods (2024)
• Transformer models: an introduction and catalog (2023)
• Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction (2023)
• Recommender Systems with Generative Retrieval (2023)
• Transformers in music recommendation (2024)
• STAR: A Simple Training-free Approach for Recommendations using Large Language Models (2024)
• User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems (2025)
• Serendipitous Recommendation with Multimodal LLM (2025)
• Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates (2025)