def calculateSimilarItems(self, n, resultFile):
# Create a dictionary of items showing which other items they
# are most similar to.
result = {}
c = 0
# self.loadMovieTag()
# for i in prefsOnItem:
# if i not in self.movieTag:
# self.movieTag[i] = []
prefsOnItem = self.transformPrefs(self.prefs)
for i in prefsOnItem.keys():
result.setdefault(i, [])
for item in prefsOnItem:
# Status updates for large datasets
c += 1
if c % 5 == 0: print
"%d / %d" % (c, len(prefsOnItem))
# Find the most similar items to this one
scores = self.topMatches(prefsOnItem,
item,
similarityMeasure=self.similarityMeasure,
n=n)
result[item] = scores
tool.dumpPickle(result, resultFile)
def calculateSimilarUsers(self, n, resultFile):
result = {}
c = 0
for i in self.prefs.keys():
result.setdefault(i, [])
for user in self.prefs:
c += 1
if c % 5 == 0:
print
"%d / %d" % (c, len(self.prefs))
scores = self.topMatches(self.prefs, user, similarityMeasure=self.similarityMeasure, n=n)
result[user] = scores
#~ print result[user]
tool.dumpPickle(result, resultFile)
def calculateSimilarUsers(self, n, resultFile):
result = {}
c = 0
for i in self.prefs.keys():
result.setdefault(i, [])
for user in self.prefs:
c += 1
if c % 5 == 0:
print
"%d / %d" % (c, len(self.prefs))
scores = self.topMatches(self.prefs,
user,
similarityMeasure=self.similarityMeasure,
n=n)
result[user] = scores
#~ print result[user]
tool.dumpPickle(result, resultFile)
def calculateSimilarItems(self, n, resultFile):
# Create a dictionary of items showing which other items they
# are most similar to.
result = {}
c = 0
# self.loadMovieTag()
# for i in prefsOnItem:
# if i not in self.movieTag:
# self.movieTag[i] = []
prefsOnItem = self.transformPrefs(self.prefs)
for i in prefsOnItem.keys():
result.setdefault(i, [])
for item in prefsOnItem:
# Status updates for large datasets
c += 1
if c % 5 == 0: print
"%d / %d" % (c, len(prefsOnItem))
# Find the most similar items to this one
scores = self.topMatches(prefsOnItem, item, similarityMeasure=self.similarityMeasure, n=n)
result[item] = scores
tool.dumpPickle(result, resultFile)
