Recommendation System, Content Based Filtering, Collaborative Filtering, Hybrid Recommendation, Naturallanguageprocessing.
g.sort_values(ascending=False)[:k] # groups the ratings dataframe by movieId g = ratings.groupby('movieId')['rating'].count() # Selects the top "k" movies with the highest number of ratings top_movies = g.sort_values(ascending=False)[:k] # Join the ratings dataframe with the top_users and