def test_local_not_existing_capper_False_estimatePreference(self):
userID = "Leopoldo Pires"
itemID = "You, Me and Dupree"
recSys = ItemRecommender(self.model, self.similarity, self.strategy, False)
self.assertAlmostEquals(
3.14717875510, recSys.estimatePreference(userID=userID, similarity=self.similarity, itemID=itemID)
)
def test_local_estimatePreference(self):
userID = "Marcel Caraciolo"
itemID = "Superman Returns"
recSys = ItemRecommender(self.model, self.similarity, self.strategy, True)
self.assertAlmostEquals(
3.5, recSys.estimatePreference(userID=userID, similarity=self.similarity, itemID=itemID)
)
def test_local_estimatePreference(self):
userID = 'Marcel Caraciolo'
itemID = 'Superman Returns'
recSys = ItemRecommender(self.model, self.similarity, self.strategy,
True)
self.assertAlmostEquals(
3.5,
recSys.estimatePreference(userID=userID,
similarity=self.similarity,
itemID=itemID))
def test_local_not_existing_capper_False_estimatePreference(self):
userID = 'Leopoldo Pires'
itemID = 'You, Me and Dupree'
recSys = ItemRecommender(self.model, self.similarity, self.strategy,
False)
self.assertAlmostEquals(
3.14717875510,
recSys.estimatePreference(userID=userID,
similarity=self.similarity,
itemID=itemID))
def test_local_not_existing_rescorer_estimatePreference(self): userID = 'Leopoldo Pires' itemID = 'You, Me and Dupree' recSys = ItemRecommender(self.model,self.similarity,self.strategy,False) scorer = TanHScorer() self.assertAlmostEquals(3.1471787551,recSys.estimatePreference(userID=userID,similarity=self.similarity,itemID=itemID,rescorer=scorer))
