def recommend(self,
recommendations,
minimum_rating,
include=AnonymousTraversal.__(),
recommender=Recommender.SMALL_SAMPLE):
"""A simple recommendation algorithm.
Starts from a "user" and examines movies the user has seen filtered by the minimum_rating which removes
movies that hold a rating lower than the value specified. It then samples the actors in the movies the
user has seen and uses that to find other movies those actors have been in that the user has not yet
seen. Those movies are grouped, counted and sorted based on that count to produce the recommendation.
"""
if recommendations <= 0:
raise ValueError('recommendations must be greater than zero')
if not isinstance(recommender, Recommender):
raise ValueError(
'recommender argument must be of type Recommender')
return (self.rated(minimum_rating, 0).aggregate("seen").local(
recommender.traversal).unfold().in_(EDGE_ACTOR).where(
P.without(
["seen"])).where(include).groupCount().order(local).by(
values,
decr).limit(local,
recommendations).select(keys).unfold())
def test_anonymous_traversal(self):
bytecode = __.__(1).bytecode
assert 0 == len(bytecode.bindings.keys())
assert 0 == len(bytecode.source_instructions)
assert 1 == len(bytecode.step_instructions)
assert "inject" == bytecode.step_instructions[0][0]
assert 1 == bytecode.step_instructions[0][1]
##
bytecode = __.start().bytecode
assert 0 == len(bytecode.bindings.keys())
assert 0 == len(bytecode.source_instructions)
assert 0 == len(bytecode.step_instructions)
def test_anonymous_traversal(self):
bytecode = __.__(1).bytecode
assert 0 == len(bytecode.bindings.keys())
assert 0 == len(bytecode.source_instructions)
assert 1 == len(bytecode.step_instructions)
assert "inject" == bytecode.step_instructions[0][0]
assert 1 == bytecode.step_instructions[0][1]
##
bytecode = __.start().bytecode
assert 0 == len(bytecode.bindings.keys())
assert 0 == len(bytecode.source_instructions)
assert 0 == len(bytecode.step_instructions)