def __init__(self, data, metric=DEFAULT_METRIC, model_size=50):
self.items = defaultdict(dict)
for user, ratings in data.user_ratings.iteritems():
for item, rating in ratings.iteritems():
self.items[item][user] = rating
Recommender.__init__(self, self.items, metric)
self.data = data
self.model_size = model_size
self.item_similars = {}
if exists(data.item_based_model_path):
self.load_model(data.item_based_model_path)
else:
self.learn_model(data.item_based_model_path)
def __init__(self):
Recommender.__init__(self)
self.weightSim = weightSim
self.nNeigh = nNeigh
