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From Robotics to Recommender Systems // Miguel Fierro // #240

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Evolution and Challenges in Recommendation Systems

The chapter explores the evolution of recommendation systems in companies like Spotify, focusing on vector stores and continual user retraining for providing updated music suggestions. It discusses the different architectures in recommendation systems, highlighting the importance of real-time architecture for personalized recommendations. The chapter also emphasizes the challenges in selecting algorithms, deploying models, and justifying expensive experiments in recommendation systems.

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