Pearson Commit

collab-filter.py

 import csv
-
+from math import sqrt
 csvfile=open('movie-ratings.csv')
-read=csv.reader(csvfile)
-reading=[]
-for line in read:
-	reading.append(line)
+reading=list(csv.reader(csvfile))
+#########################
 f2 = open ("user_preference.csv")
-data = csv.reader(f2)
+user_data = csv.reader(f2)
 preference = []
-a=input("Your name :")
-preference.append(a)
-for line in data:
+preference.append(input("Your name :"))
+for line in user_data:
     preference.append(line)
 prefdict = dict( zip(preference[1],preference[2]))
-print(prefdict)
+####################
\ No newline at end of file
+header = reading[0]
+del reading[0]
+reviewers = [ s[0] for s in reading]
+reviewdic = []
+for line in reading:
+    dic = dict( (header[i],line[i]) for i in range(1,len(line)))
+    reviewdic.append(dic)
+dist=[]
+for i in reviewdic:
+    sum1=0
+    euclid_temp=[sqrt((float(i[j])-float(prefdict[j]))**2) for j in prefdict.keys() if float(i[j])!=-1 and float(prefdict[j])!=-1]
+    dist.append(sum(euclid_temp)/len(euclid_temp))
+order_dist = sorted(zip(reviewers,dist), key=lambda x: x[1],reverse=True)
+#############################################
+temp_movieUser=[i for i in prefdict.keys() if float(prefdict[i])!=-1]
+pear=[]
+for i in reviewdic:
+    temp_movieRev=[j for j in prefdict.keys() if float(i[j])!=-1]
+    var=list(set(temp_movieUser).intersection(temp_movieRev))
+    temp=[float(i[j]) for j in var if float(i[j])!=-1]
+    temp1=[float(prefdict[j]) for j in var if float(prefdict[j])!=-1]
+    mean=sum(temp)/len(temp)
+    avgUser=sum(temp1)/len(temp1)
+    stdUser=sqrt((sum(map(lambda x: x*x,temp1))/len(temp1))-avgUser)
+    stdRev=sqrt((sum(map(lambda x: x*x,temp))/len(temp))-mean)
+    pear.append(sum([(float(prefdict[j])-avgUser)*(float(i[j])-mean)/(len(var)*stdRev*stdUser) for j in var]))
+order_pear=sorted(zip(reviewers,pear), key=lambda x:x[1], reverse=True)

movie-ratings.csv

-Name,The Godfather,Pulp Fiction,Gone With the Wind,12 Angry Men,Lawrence of Arabia,Raging Bull,The Clockwork Orange,Cinema Paradiso,Wild Strawberries,Amadeus
-Albert Einstein,9.5,7,10,10,-1,-1,6,10,8,10
-The Joker,8,10,4,4,8,-1,10,9.5,7.5,8
-Marilyn Monroe,8,-1,10,8.5,-1,8.5,6.5,-1,8,5
-Steve Jobs,-1,8.5,8,10,9,7.5,9,8,8.5,9
-Mahatma Gandhi,6,-1,-1,9,8,8,5,7,7,7
-Pikachu,7,-1,5,-1,-1,9,-1,5,-1,10
-Jon Snow,-1,7,10,8,8,8,8,8,8,-1
-Walter White,9,10,6,6,7,-1,10,7,10,-1
-J K Rowling,9,9,-1,9,8,7,9,10,10,9
-Diego Maradona,-1,8,7,6,7,9,6,8,7,-1
-Barrack Obama,7,9,10,10,7,9,-1,-1,-1,8
+Name,The Godfather,Pulp Fiction,Gone With the Wind,12 Angry Men,Lawrence of Arabia,Raging Bull,The Clockwork Orange,Cinema Paradiso,Wild Strawberries,Amadeus
+Albert Einstein,9.5,7,10,10,-1,-1,6,10,8,10
+The Joker,8,10,4,4,8,-1,10,9.5,7.5,8
+Marilyn Monroe,8,-1,10,8.5,-1,8.5,6.5,-1,8,5
+Steve Jobs,-1,8.5,8,10,9,7.5,9,8,8.5,9
+Mahatma Gandhi,6,-1,-1,9,8,8,5,7,7,7
+Pikachu,7,-1,5,-1,-1,9,-1,5,-1,10
+Jon Snow,-1,7,10,8,8,8,8,8,8,-1
+Walter White,9,10,6,6,7,-1,10,7,10,-1
+J K Rowling,9,9,-1,9,8,7,9,10,10,9
+Diego Maradona,-1,8,7,6,7,9,6,8,7,-1
+Barrack Obama,7,9,10,10,7,9,-1,-1,-1,8

user_preference.csv

-The Godfather,Pulp Fiction,The Clockwork Orange,Cinema Paradiso,Wild Strawberries,Amadeus
-9,7,6,10,8,10
+The Godfather,Pulp Fiction,Gone With the Wind,12 Angry Men,Lawrence of Arabia,Raging Bull,The Clockwork Orange,Cinema Paradiso,Wild Strawberries,Amadeus
+9,7,6,10,8,10,-1,-1,-1,-1