def recommend(self,userID,howMany,rescorer=None): if self.numPreferences(userID) == 0: return [] possibleItemIDs = self.allOtherItems(userID) rec_items = topItems(userID,possibleItemIDs,howMany,self.estimatePreference,self.similarity,rescorer) return rec_items
def recommend(self, userID, howMany, rescorer=None):
if self.numPreferences(userID) == 0:
return []
possibleItemIDs = self.allOtherItems(userID)
rec_items = topItems(userID, possibleItemIDs, howMany,
self.estimatePreference, self.similarity,
rescorer)
return rec_items
def recommend(self,userID,howMany,rescorer=None): nearestN = self.neighborhood.userNeighborhood(userID,rescorer) if not nearestN: return [] allItemIDs = self.allOtherItems(userID, nearestN) rec_items = topItems(userID,allItemIDs,howMany,self.estimatePreference,self.similarity,rescorer) return rec_items
def recommendedBecause(self,userID,itemID,howMany,rescorer=None): prefs = self.model.PreferencesFromUser(userID) allUserItems = [otherItemID for otherItemID,pref in prefs if otherItemID != itemID] allUserItems = list(set(allUserItems)) return topItems(thingID=userID,possibleItemIDs=allUserItems,howMany=howMany,preferenceEstimator=self.estimateBecausePreference, similarity=self.similarity,rescorer=None,recommendedItemID=itemID)
def mostSimilarItems(self,itemIDs,howMany,rescorer=None): possibleItemIDs = [] for itemID in itemIDs: prefs = self.model.PreferencesForItem(itemID) for userID,pref in prefs: possibleItemIDs.extend(self.model.ItemIDsFromUser(userID)) possibleItemIDs = list(set(possibleItemIDs)) pItems = [itemID for itemID in possibleItemIDs if itemID not in itemIDs] return topItems(itemIDs,pItems,howMany,self.estimateMultiItemsPreference,self.similarity,rescorer)
def recommend(self, userID, howMany, rescorer=None):
nearestN = self.neighborhood.userNeighborhood(userID, rescorer)
if not nearestN:
return []
allItemIDs = self.allOtherItems(userID, nearestN)
rec_items = topItems(userID, allItemIDs, howMany,
self.estimatePreference, self.similarity,
rescorer)
return rec_items
def recommendedBecause(self, userID, itemID, howMany, rescorer=None):
prefs = self.model.PreferencesFromUser(userID)
allUserItems = [
otherItemID for otherItemID, pref in prefs if otherItemID != itemID
]
allUserItems = list(set(allUserItems))
return topItems(thingID=userID,
possibleItemIDs=allUserItems,
howMany=howMany,
preferenceEstimator=self.estimateBecausePreference,
similarity=self.similarity,
rescorer=None,
recommendedItemID=itemID)
def mostSimilarItems(self, itemIDs, howMany, rescorer=None):
possibleItemIDs = []
for itemID in itemIDs:
prefs = self.model.PreferencesForItem(itemID)
for userID, pref in prefs:
possibleItemIDs.extend(self.model.ItemIDsFromUser(userID))
possibleItemIDs = list(set(possibleItemIDs))
pItems = [
itemID for itemID in possibleItemIDs if itemID not in itemIDs
]
return topItems(itemIDs, pItems, howMany,
self.estimateMultiItemsPreference, self.similarity,
rescorer)
def recommend(self, userID, howMany, rescore=None):
possibleItemIDs = self.possibleItemIDs(userID)
rec_items = topItems(userID, possibleItemIDs, howMany,
self.estimatePreference, None, None)
return rec_items
def recommend(self,userID,howMany,rescore=None): possibleItemIDs = self.possibleItemIDs(userID) rec_items = topItems(userID,possibleItemIDs,howMany,self.estimatePreference,None,None) return rec_items
