Created on Nov 24, 2015
@author: ola
'''
import RecommenderEngine, json
import SimpleFoodReader
import BookReader
import MovieReader
if __name__ == "__main__":
#(jitems,jratings) = SimpleFoodReader.getData("foodratings_example.txt")
(jitems, jratings) = BookReader.getData("bookratings.txt")
#(jitems,jratings) = MovieReader.getData("movieratings.txt")
print "items = ", jitems
print "ratings = ", jratings
items = json.loads(jitems)
ratings = json.loads(jratings)
avg = RecommenderEngine.averages(items, ratings)
print avg
for key in ratings:
slist = RecommenderEngine.similarities(key, ratings)
print key, slist
print "\t", RecommenderEngine.scores(slist, items, ratings, 1)
print "\t", RecommenderEngine.scores(slist, items, ratings, len(slist))
print RecommenderEngine.recommend(ratings.keys()[0], items, ratings, 5)
#for the above test, I randomly chose a name and a count
Created on Nov 24, 2015
@author: ola
'''
import RecommenderEngine, json
import SimpleFoodReader
import BookReader
import MovieReader
if __name__ == "__main__":
#(jitems,jratings) = SimpleFoodReader.getData("foodratings_example.txt")
(jitems,jratings) = BookReader.getData("bookratings.txt")
#(jitems,jratings) = MovieReader.getData("movieratings.txt")
print "items = ",jitems
print "ratings = ", jratings
items = json.loads(jitems)
ratings = json.loads(jratings)
avg = RecommenderEngine.averages(items,ratings)
print avg
for key in ratings:
slist = RecommenderEngine.similarities(key,ratings)
print key,slist
print "\t",RecommenderEngine.scores(slist,items,ratings,1)
print "\t",RecommenderEngine.scores(slist,items,ratings,len(slist))
print RecommenderEngine.recommend(ratings.keys()[0], items, ratings, 5)
#for the above test, I randomly chose a name and a count
'''
Created on Dec 4, 2015
@author: Jonathan Yu
'''
import RecommenderEngine, json
import MovieReader
import random
if __name__ == "__main__":
(jitems,jratings) = MovieReader.getData("movieratings.txt")
items = json.loads(jitems)
ratings = json.loads(jratings)
name = ratings.keys()[random.randint(0, len(ratings) + 1)]
count = 15
recs = RecommenderEngine.recommend(name, items, ratings, count)
recs = ", ".join(d[0] for d in recs[:10])
print "Using " + str(count) + " other users' ratings, our top ten recommendations for " + name + " are " + recs + "."
print
name = ratings.keys()[random.randint(0, len(ratings) + 1)]
count = 20
recs = RecommenderEngine.recommend(name, items, ratings, count)
recs = ", ".join(d[0] for d in recs[:10])
print "Using " + str(count) + " other users' ratings, our top ten recommendations for " + name + " are " + recs + "."
import RecommenderEngine, json
import SimpleFoodReader
if __name__ == "__main__":
(jitems, jratings) = SimpleFoodReader.getData("foodratings_example.txt")
print "items = ", jitems
print "ratings = ", jratings
items = json.loads(jitems)
ratings = json.loads(jratings)
avg = RecommenderEngine.averages(items, ratings)
# print avg
for key in ratings:
slist = RecommenderEngine.similarities(key, ratings)
print key, slist
print "\t", RecommenderEngine.scores(slist, items, ratings, 1)
print "\t", RecommenderEngine.scores(slist, items, ratings, len(slist))
print "\t", RecommenderEngine.recommend(key, items, ratings, 3)
@author: Jonathan Yu
'''
import RecommenderEngine, json
import MovieReader
import random
if __name__ == "__main__":
(jitems, jratings) = MovieReader.getData("movieratings.txt")
items = json.loads(jitems)
ratings = json.loads(jratings)
name = ratings.keys()[random.randint(0, len(ratings) + 1)]
count = 15
recs = RecommenderEngine.recommend(name, items, ratings, count)
recs = ", ".join(d[0] for d in recs[:10])
print "Using " + str(
count
) + " other users' ratings, our top ten recommendations for " + name + " are " + recs + "."
print
name = ratings.keys()[random.randint(0, len(ratings) + 1)]
count = 20
recs = RecommenderEngine.recommend(name, items, ratings, count)
recs = ", ".join(d[0] for d in recs[:10])
print "Using " + str(
count
) + " other users' ratings, our top ten recommendations for " + name + " are " + recs + "."
'''
Created on Nov 28, 2015
@author: tedmarchildon
'''
import RecommenderEngine, json
import BookReader
if __name__ == "__main__":
(jitems,jratings) = BookReader.getData("bookratings.txt")
print "items = ",jitems
print "ratings = ", jratings
items = json.loads(jitems)
ratings = json.loads(jratings)
avg = RecommenderEngine.averages(items,ratings)
#print avg
for key in ratings:
slist = RecommenderEngine.similarities(key,ratings)
print key,slist
print "\t",RecommenderEngine.scores(slist,items,ratings,1)
print "\t",RecommenderEngine.scores(slist,items,ratings,len(slist))
print '\t', RecommenderEngine.recommend(key, items, ratings, 3)
