Clément Calauzènes
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Modern Recommender Systems
recommender systems
matrix factorization
embeddings
retrieval
A course on modern recommender systems, comparing classical architecture to the latest approaches based on generative models and vector databases. It is structured around tree main components: the choice of architecture, the learning problem with preference feedback, and the difficulties arising from implicit feedback.
Apr 15, 2025
Clément Calauzènes
69 min
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