8e958d70fa54c0b249f7e6de27fd57cbaa7563d4,algorithm/rating/SlopeOne.py,SlopeOne,predict,#SlopeOne#Any#Any#,29

Before Change

        itemDict = {}
        // check if the user existed in trainSet or not
        if self.dao.containsUser(u):
            for item in self.dao.row(u).valuse():
                if item.values() > 0:
                    itemDict[item] = item.values()
                else:
                    continue
            sum = 0
            freqSum = 0
            for item2 in itemDict.keys():
                sum = sum + ((itemDict[item2] + self.diffAverage[u][item2]) * self.freq[u][item2])

After Change

                count = self.freq[i][item]
                sum += (rating + diff) * count
                freqSum += count
            try:
                pred = float(sum)/freqSum
            except ZeroDivisionError:
                pred = self.dao.userMeans[u]
        elif self.dao.containsItem(i):
            pred = self.dao.itemMeans[i]
        else:
            pred = self.dao.globalMean

Instances