__author__ = 'SejongPark' from chapter2 import recommendations prefs = recommendations.load_movie_lens('../movielens/') print(prefs['87']) item_sim = recommendations.calculate_similar_items(prefs, n=50) result = recommendations.get_recommended_items(prefs, item_sim, '87') print(result)
__author__ = 'SejongPark' from chapter2 import recommendations item_sim = recommendations.calculate_similar_items(recommendations.critics) print(item_sim) result = recommendations.get_recommended_items(recommendations.critics, item_sim, 'Toby') print(result)