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Types of Machine Learning: Recommender Systems

Rodolfo Mendes
I help machine learning engineers to deploy, monitor, and scale machine learning models, so they don't have to work overtime.
Originally published at on ・1 min read

Recommender systems are a category of Machine Learning algorithms that predict a user’s rating or preferences over a collection of items.

Recommender systems algorithms include: Collaborative filtering Content-based filtering Session-based Session-based recommender systems Reinforcement learning for recommender systems include: Multi-criteria recommender systems Risk-aware recommender systems Mobile recommender systems

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