In this lesson, we learned about recommender systems. We learned about how they compare to traditional supervised learning and what the properties of good recommender systems. We also discussed the different types of recommender systems, as well as how we can transform data for use in recommender systems. We are now ready to learn how we can use Python to implement and build recommender systems.