Python for Machine Learning - The Complete Beginners Course - Content-Based Recommender System

The video tutorial explains content-based filtering, a method that uses product features to recommend items similar to what a user likes. It highlights how user preferences, previous actions, and explicit feedback like ratings influence recommendations. An example is provided where a user who likes adventurous movies is recommended another adventurous movie, demonstrating the system's logic.

In the example provided, what genre of movies does user one prefer?

What would a content-based recommended system suggest to user one based on their preferences?