Esempio n. 1
0
__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)
Esempio n. 2
0
__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)