def get_similar_users(self, user, user_list, item_list, min_value=MIN_SIMILARITY_VALUE):
user_item_matrix = self.create_matrix(user_list, item_list)
sim_list = []
for other in user_list:
if user==other:continue
try:
sim=utils.distance_matrix_p1_p2(user_item_matrix[user.id],user_item_matrix[other.id]) #returns a 0..1 value
except KeyError:
user_item_matrix = self.create_matrix(user_list, item_list, bust_cache=True)
sim=utils.distance_matrix_p1_p2(user_item_matrix[user.id],user_item_matrix[other.id]) #returns a 0..1 value
if sim>min_value:
sim_list.append((sim,other))
sim_list.sort(reverse=True)
return sim_list
def get_similar_items(self, item, user_list, item_list, min_value=MIN_SIMILARITY_VALUE):
user_item_matrix = self.create_matrix(user_list, item_list)
item_user_matrix = self.rotate_matrix(user_item_matrix)
sim_list = []
for other in item_list:
if item==other:continue
try:
sim=utils.distance_matrix_p1_p2(item_user_matrix[item.id],item_user_matrix[other.id]) #returns a 0..1 value
except KeyError:
sim=0
if sim>min_value:
sim_list.append((sim,other))
sim_list.sort(reverse=True)
return sim_list
