RecSys at Spotify - Building and Evaluating Large-Scale Recommender Systems

Explore a comprehensive discussion on recommender systems at Spotify in this 50-minute podcast episode featuring Sanket Gupta, Senior Machine Learning Engineer. Dive into the construction and maintenance of large-scale recommender systems, the use of foundational user and item embeddings for transfer learning across products, evaluation methods, and MLOps challenges. Learn about balancing long-term and short-term user understanding for personalized experiences, cold start problems, real-time recommendations, and the integration of vector databases. Gain insights on Spotify's product integration strategy, metrics for speed and relevance, and staying current with new features in the rapidly evolving field of music recommendation systems.