def most_frequently_bought(data_set, user_id):
repository = Repository(data_set=data_set)
user_products = repository.get_products_bought_globally()
recommended = sorted(user_products,
key=lambda item: item['count'],
reverse=True)[:20]
for p in recommended:
product = repository.get_product(p['_id'])
if product:
logger.info("{} {}".format(product['product_name'], p['count']))
def most_frequently_bought_by_similar_users(data_set, user_id):
repository = Repository(data_set=data_set)
users = repository.get_similar_users_for_user(user_id=user_id)
recommend_products = defaultdict(float)
common_products = defaultdict(float)
count = 0
for user in users:
if user['user1_id'] == user_id:
products = user['add_products2']
elif user['user2_id'] == user_id:
products = user['add_products1']
else:
raise Exception()
for p in products:
recommend_products[p] += user['similarity']
for p in user['common_products']:
common_products[p] += 1
logger.info("-- Most frequent common products:")
common_products = sorted(common_products.items(),
key=lambda item: item[1],
reverse=True)[:10]
for product_id, count in common_products:
product = repository.get_product(product_id)
if product:
logger.info("{} {}".format(product['product_name'], count))
logger.info("-- Recommended products:")
recommended = sorted(recommend_products.items(),
key=lambda item: item[1],
reverse=True)[:10]
for product_id, count in recommended:
product = repository.get_product(product_id)
if product:
logger.info("{} {}".format(product['product_name'], count))
