def calculate_similarities(self, vote_list, verbose=0):
#print "--------------------------------------------------"
#print "calculate_similarities"
#print "--------------------------------------------------"
# vote_list
# [
# ("<user1>", "<object_identifier1>", <score>),
# ("<user1>", "<object_identifier2>", <score>),
# ]
# Invert the preference matrix to be item-centric
itemPrefs = convert_vote_list_to_itemprefs(vote_list)
itemMatch = {}
for item in itemPrefs:
# Find the most similar items to this one
itemMatch[item] = self.top_matches(itemPrefs, item)
iteritems = itemMatch.items()
# returns
# [
# ("<object_identifier1>", [
# (<related_object_identifier2>, <score>),
# (<related_object_identifier3>, <score>),
# ]),
# ("<object_identifier2>", [
# (<related_object_identifier2>, <score>),
# (<related_object_identifier3>, <score>),
# ]),
# ]
return iteritems
def calculate_similarities(self, vote_list, verbose=0):
svd = self.setup_svd(vote_list)
itemPrefs = convert_vote_list_to_itemprefs(vote_list)
itemMatch = {}
for item in itemPrefs:
itemMatch[item] = svd.similar(item)
iteritems = itemMatch.items()
return iteritems
def calculate_similarities(self, vote_list, verbose=0):
# Invert the preference matrix to be item-centric
itemPrefs = convert_vote_list_to_itemprefs(vote_list)
itemMatch = {}
for item in itemPrefs:
# Find the most similar items to this one
itemMatch[item] = self.top_matches(itemPrefs, item)
iteritems = itemMatch.items()
return iteritems
def calculate_similarities(self, vote_list, verbose=0):
svd = self.setup_svd(vote_list)
itemPrefs = convert_vote_list_to_itemprefs(vote_list)
itemMatch = {}
for item in itemPrefs:
itemMatch[item] = svd.similar(item)
iteritems = itemMatch.items()
return iteritems
def calculate_similarities(self, vote_list, verbose=0):
# Invert the preference matrix to be item-centric
itemPrefs = convert_vote_list_to_itemprefs(vote_list)
itemMatch = {}
for item in itemPrefs:
# Find the most similar items to this one
itemMatch[item] = self.top_matches(itemPrefs, item)
iteritems = itemMatch.items()
return iteritems
def calculate_similarities(self, vote_list, verbose=0):
#print "--------------------------------------------------"
#print "calculate_similarities"
#print "--------------------------------------------------"
# vote_list
# [
# ("<user1>", "<object_identifier1>", <score>),
# ("<user1>", "<object_identifier2>", <score>),
# ]
# Invert the preference matrix to be item-centric
itemPrefs = convert_vote_list_to_itemprefs(vote_list)
itemMatch = {}
for item in itemPrefs:
# Find the most similar items to this one
itemMatch[item] = self.top_matches(itemPrefs, item)
iteritems = itemMatch.items()
# returns
# [
# ("<object_identifier1>", [
# (<related_object_identifier2>, <score>),
# (<related_object_identifier3>, <score>),
# ]),
# ("<object_identifier2>", [
# (<related_object_identifier2>, <score>),
# (<related_object_identifier3>, <score>),
# ]),
# ]
return iteritems
