The recommendation system preprocesses data and trains two models: KNN for collaborative filtering and KMeans for clustering. KNN makes recommendations based on user similarities, while KMeans groups movies by features for content-based recommendations. The system provides suggestions based on either model, depending on the availability of the movie in the dataset.