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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture introduces recommender systems, covering collaborative filtering and content-based methods. It explains user-based and item-based collaborative filtering, addressing cold start problems and scalability. The lecture also discusses similarity metrics, aggregation of ratings, and making predictions.