1. The document describes an algorithm for recommending movies for two users to watch based on their ratings of movies. 2. It collects ratings data from users to create a ratings table and calculates a similarity matrix between movies based on the ratings. 3. It then takes the movies liked by each user, calculates their similarity to other movies, and recommends the movie with the highest combined similarity.