Generating movie recommendations
If you've ever used a streaming service like Netflix, you've seen how these platforms personalize their home pages based on what they think you would enjoy watching next. To achieve this, machine learning is used to come up with recommendations based on your viewing history, the viewing history of similar users, and any other data that could help understand what you enjoy.
In this exercise, you'll find a simplified movie recommendation model. It takes as input your favorite genres as well as one movie characteristic. Try it out and see what the model outputs!
What does the model's output represent?
This exercise is part of the course
Understanding Machine Learning
Hands-on interactive exercise
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