python-推荐

users={“Angelica”: {“Blues Traveler”: 3.5, “Broken Bells”: 2.0, “Norah Jones”:4.5,”Phoenix”:5.0,”Slightly Stoopid”:1.5,”The Strokes”:2.5,”Vampire Weekend”: 2.0},
“Bill”:{“Blues Traveler”: 2.0, “Broken Bells”: 3.5, “Deadmau5”: 4.0, “Phoenix”: 2.0, “Slightly Stoopid”: 3.5, “Vampire Weekend”: 3.0},
“Chan”: {“Blues Traveler”: 5.0, “Broken Bells”: 1.0, “Deadmau5”: 1.0, “Norah Jones”: 3.0, “Phoenix”: 5, “Slightly Stoopid”: 1.0},
“Dan”: {“Blues Traveler”: 3.0, “Broken Bells”: 4.0, “Deadmau5”: 4.5, “Phoenix”: 3.0, “Slightly Stoopid”: 4.5, “The Strokes”: 4.0, “Vampire Weekend”: 2.0},
“Hailey”: {“Broken Bells”: 4.0, “Deadmau5”: 1.0, “Norah Jones”: 4.0, “The Strokes”: 4.0, “Vampire Weekend”: 1.0},
“Jordyn”: {“Broken Bells”: 4.5, “Deadmau5”: 4.0, “Norah Jones”: 5.0, “Phoenix”: 5.0, “Slightly Stoopid”: 4.5, “The Strokes”: 4.0, “Vampire Weekend”: 4.0},
“Sam”: {“Blues Traveler”: 5.0, “Broken Bells”: 2.0, “Norah Jones”: 3.0, “Phoenix”: 5.0, “Slightly Stoopid”: 4.0, “The Strokes”: 5.0},
“Veronica”: {“Blues Traveler”: 3.0, “Norah Jones”: 5.0, “Phoenix”: 4.0, “Slightly Stoopid”: 2.5, “The Strokes”: 3.0}}
def manhattan(rating1, rating2):
distance = 0
for key in rating1:
if key in rating2:
distance += abs(rating1[key] – rating2[key])
return distance
def computeNearestNeighbor(username, users):
distances = []
for user in users:
if user != username:
distance = manhattan(users[user], users[username])
distances.append((distance, user))
distances.sort()
return distances
def recommend(username,users):
nearest = computeNearestNeighbor(username, users)[0][1]
recommendations = []
neighborRatings = users[nearest]
userRatings = users[username]
for artist in neighborRatings:
if not artist in userRatings:
recommendations.append((artist, neighborRatings[artist]))
return sorted(recommendations, key=lambda artistTuple: artistTuple[1], reverse = True)