Global imports
In [3]:
import numpy as np
In [153]:
import scipy.stats as st
In [4]:
import shelve
In [274]:
import math
In [327]:
from itertools import ifilter
Database stuff
In [5]:
db = shelve.open("./db/movielens_100k.db")
In [6]:
# db.close()
Intersecting critic rated movies
In [275]:
def shared_items_original(db, person1, person2):
return [item for item in db[person1] if item in db[person2]]
In [276]:
%time shared_items_original(db, "1", "2")
CPU times: user 9.75 ms, sys: 4.14 ms, total: 13.9 ms
Wall time: 13.5 ms
Out[276]:
['Birdcage, The (1996)',
'Toy Story (1995)',
'Postino, Il (1994)',
'Good Will Hunting (1997)',
'Richard III (1995)',
'Star Wars (1977)',
'Jerry Maguire (1996)',
'Godfather, The (1972)',
'Full Monty, The (1997)',
'Shall We Dance? (1996)',
'Kolya (1996)',
'Contact (1997)',
'Truth About Cats & Dogs, The (1996)',
'Men in Black (1997)',
'Mighty Aphrodite (1995)',
"Antonia's Line (1995)",
'Fargo (1996)',
"My Best Friend's Wedding (1997)"]
In [277]:
def shared_items_optimized(db, person1, person2):
return db[person1].viewkeys() & db[person2].viewkeys()
In [278]:
%time shared_items_optimized(db, "1", "2")
CPU times: user 1.53 ms, sys: 125 µs, total: 1.65 ms
Wall time: 1.22 ms
Out[278]:
{"Antonia's Line (1995)",
'Birdcage, The (1996)',
'Contact (1997)',
'Fargo (1996)',
'Full Monty, The (1997)',
'Godfather, The (1972)',
'Good Will Hunting (1997)',
'Jerry Maguire (1996)',
'Kolya (1996)',
'Men in Black (1997)',
'Mighty Aphrodite (1995)',
"My Best Friend's Wedding (1997)",
'Postino, Il (1994)',
'Richard III (1995)',
'Shall We Dance? (1996)',
'Star Wars (1977)',
'Toy Story (1995)',
'Truth About Cats & Dogs, The (1996)'}
In [279]:
shared_items = shared_items_optimized
Vectorizing ratings
In [280]:
def critics_ratings_original(db, person1, person2):
shared = shared_items(db, person1, person2)
scores1 = [db[person1][item] for item in shared]
scores2 = [db[person2][item] for item in shared]
n = len(shared)
return scores1, scores2, n
In [281]:
%timeit s1, s2, n = critics_ratings_original(db, "1", "2")
The slowest run took 4.12 times longer than the fastest. This could mean that an intermediate result is being cached
100 loops, best of 3: 3.29 ms per loop
In [282]:
def critics_ratings_optimized(db, person1, person2):
shared = shared_items(db, person1, person2)
n = len(shared)
scores1 = np.fromiter(map(lambda x: db[person1][x], shared), np.float_)
scores2 = np.fromiter(map(lambda x: db[person2][x], shared), np.float_)
return scores1, scores2, n
In [283]:
%timeit s1, s2, n = critics_ratings_optimized(db, "1", "2")
100 loops, best of 3: 3.26 ms per loop
In [284]:
critics_ratings = critics_ratings_optimized
Similarity metrics - Euclidean
In [285]:
def euclidean_similarity_original(db, person1, person2):
s1, s2, n = critics_ratings(db, person1, person2)
dist = math.sqrt(sum(map(lambda x, y: pow(x-y, 2), s1, s2)))
return 1/(1+dist)
In [286]:
%time euclidean_similarity_original(db, "1", "2")
CPU times: user 7.37 ms, sys: 0 ns, total: 7.37 ms
Wall time: 7.29 ms
Out[286]:
0.15894454156034005
In [287]:
def euclidean_similarity_optimized(db, person1, person2):
s1, s2, n = critics_ratings(db, person1, person2)
return 1/(1+np.linalg.norm(s1-s2))
In [288]:
%time euclidean_similarity_optimized(db, "1", "2")
CPU times: user 4.18 ms, sys: 15 µs, total: 4.2 ms
Wall time: 3.96 ms
Out[288]:
0.15894454156034005
In [289]:
euclidean_similarity = euclidean_similarity_optimized
Similarity metrics - Pearson
In [290]:
def pearson_similarity_original(db, person1, person2):
s1, s2, n = critics_ratings(db, person1, person2)
if n == 0: return 0
sum_s1 = sum(s1)
sum_s2 = sum(s2)
sum_s1_sq = sum(map(lambda x,y:x*y, s1, s1))
sum_s2_sq = sum(map(lambda x,y:x*y, s2, s2))
sum_s_pro = sum(map(lambda x,y:x*y, s1, s2))
numerator = sum_s_pro - (sum_s1*sum_s2/float(n))
denominator = sqrt((sum_s1_sq-pow(sum_s1, 2)/float(n))*
(sum_s2_sq-pow(sum_s2, 2)/float(n)))
if denominator == 0: return 0
return numerator/denominator
In [291]:
%time pearson_similarity_original(db, "900", "800")
CPU times: user 1.55 ms, sys: 125 µs, total: 1.68 ms
Wall time: 1.27 ms
Out[291]:
-0.55901699437494845
In [292]:
def pearson_similarity_optimized(db, person1, person2):
s1, s2, n = critics_ratings(db, person1, person2)
if n == 0: return 0
return st.pearsonr(s1, s2)[0]
In [293]:
%time pearson_similarity_optimized(db, "900", "800")
CPU times: user 912 µs, sys: 75 µs, total: 987 µs
Wall time: 749 µs
Out[293]:
-0.55901699437494745
In [294]:
def pearson_similarity_optimized2(db, person1, person2):
s1, s2, n = critics_ratings(db, person1, person2)
sum_s1 = np.sum(s1)
sum_s2 = np.sum(s2)
sum_s1_sq = np.sum(s1*s1)
sum_s2_sq = np.sum(s2*s2)
sum_s_pro = np.sum(s1*s2)
numerator = sum_s_pro - (sum_s1*sum_s2/float(n))
denominator = np.sqrt((sum_s1_sq-(sum_s1*sum_s1)/float(n))*
(sum_s2_sq-(sum_s2*sum_s2)/float(n)))
if denominator == 0: return 0
return numerator/denominator
In [295]:
%time pearson_similarity_optimized2(db, "900", "800")
CPU times: user 916 µs, sys: 75 µs, total: 991 µs
Wall time: 1.05 ms
Out[295]:
-0.55901699437494845
In [296]:
pearson_similarity = pearson_similarity_optimized
Recommend critics based on all the db
In [304]:
def recommend_critics_original(db, person, similarity):
lst = [(similarity(db, person, other), other)
for other in db if other != person]
cleaned = filter(lambda p: p[0]==p[0], lst)
return sorted(cleaned)[::-1]
In [332]:
%time recommend_critics_original(db, "1", pearson_similarity)
CPU times: user 9.23 s, sys: 690 ms, total: 9.92 s
Wall time: 9.94 s
Out[332]:
[(1.0, '866'),
(1.0, '812'),
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(1.0, '810'),
(1.0, '531'),
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In [328]:
def recommend_critics_optimized(db, person, similarity):
lst = [(similarity(db, person, other), other)
for other in db if other != person]
cleaned = ifilter(lambda p: p[0]==p[0], lst)
return sorted(cleaned)[::-1]
In [333]:
%time recommend_critics_optimized(db, "1", pearson_similarity)
CPU times: user 9.27 s, sys: 603 ms, total: 9.87 s
Wall time: 9.89 s
Out[333]:
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In [334]:
recommend_critics = recommend_critics_optimized
In [335]:
def top_critics(db, person, similarity, n=30):
return recommend_critics(db, person, similarity)[:n]
In [336]:
%time top_critics(db, "1", pearson_similarity)
CPU times: user 9.87 s, sys: 595 ms, total: 10.5 s
Wall time: 10.5 s
Out[336]:
[(1.0, '866'),
(1.0, '812'),
(1.0, '811'),
(1.0, '810'),
(1.0, '531'),
(1.0, '511'),
(1.0, '39'),
(1.0, '351'),
(1.0, '273'),
(1.0, '166'),
(0.95257934441568026, '520'),
(0.91653421378307787, '107'),
(0.90453403373329089, '687'),
(0.89104211121363053, '34'),
(0.88229880338305944, '105'),
(0.8703882797784892, '740'),
(0.86602540378443871, '485'),
(0.86602540378443849, '873'),
(0.86602540378443849, '400'),
(0.86258194917794284, '510'),
(0.85280286542244166, '364'),
(0.8496546792899824, '803'),
(0.84548890303097124, '791'),
(0.84366148773210736, '572'),
(0.83874169727605896, '691'),
(0.81649658092772615, '111'),
(0.81409157841069435, '61'),
(0.81064348337777759, '754'),
(0.79494818839587555, '702'),
(0.77777777777777779, '656')]
Recommend movies based on all the db
In [341]:
def recommend_movies_original(db, person, similarity, n=30, m=30):
totals = {}
similarity_sums = {}
for simil, critic in top_critics(db, person, similarity, n):
if simil <= 0: continue
for movie in db[critic]:
if movie not in db[person] or db[person][movie] == 0:
totals.setdefault(movie, 0)
totals[movie] += db[critic][movie]*simil
similarity_sums.setdefault(movie, 0)
similarity_sums[movie] += simil
rankings = [(total/similarity_sums[movie], movie)
for movie, total in totals.items()]
return sorted(rankings)[::-1][:m]
In [353]:
%time recommend_movies_original(db, "1", pearson_similarity)
CPU times: user 9.49 s, sys: 623 ms, total: 10.1 s
Wall time: 10.1 s
Out[353]:
[(5.0000000000000009, 'Postman, The (1997)'),
(5.0, 'Women, The (1939)'),
(5.0, 'Winter Guest, The (1997)'),
(5.0, "She's the One (1996)"),
(5.0, 'Shadow Conspiracy (1997)'),
(5.0, 'Seventh Seal, The (Sjunde inseglet, Det) (1957)'),
(5.0, 'Sense and Sensibility (1995)'),
(5.0, "Schindler's List (1993)"),
(5.0, 'Rear Window (1954)'),
(5.0, 'Philadelphia (1993)'),
(5.0, 'Matilda (1996)'),
(5.0, 'Love Jones (1997)'),
(5.0, 'Leaving Las Vegas (1995)'),
(5.0, 'Kids (1995)'),
(5.0, "It's a Wonderful Life (1946)"),
(5.0, 'It Happened One Night (1934)'),
(5.0, 'Great Dictator, The (1940)'),
(5.0, 'Big Lebowski, The (1998)'),
(5.0, 'American President, The (1995)'),
(4.5522898401481484, 'Thousand Acres, A (1997)'),
(4.3717778769846021, 'Desperate Measures (1998)'),
(4.2753227231893352, 'Titanic (1997)'),
(4.2733948756213609, 'Rainmaker, The (1997)'),
(4.2148784307905158, 'Anna Karenina (1997)'),
(4.0598326384530221, 'L.A. Confidential (1997)'),
(4.0275325817142607, 'Mrs. Dalloway (1997)'),
(4.0207157535182798, 'Kiss the Girls (1997)'),
(4.0090443890632832, "Eve's Bayou (1997)"),
(4.0, 'Wedding Singer, The (1998)'),
(4.0, 'Time to Kill, A (1996)')]
In [357]:
def recommend_movies_optimized(db, person, similarity, n=30, m=30):
totals = {}
similarity_sums = {}
for simil, critic in iter(top_critics(db, person, similarity, n)):
if simil <= 0: continue
for movie in db[critic].iterkeys():
if movie not in db[person]:
totals.setdefault(movie, 0)
totals[movie] += db[critic][movie]*simil
similarity_sums.setdefault(movie, 0)
similarity_sums[movie] += simil
rankings = [(total/similarity_sums[movie], movie)
for movie, total in totals.items()]
return sorted(rankings)[::-1][:m]
In [358]:
%time recommend_movies_optimized(db, "1", pearson_similarity)
CPU times: user 9.33 s, sys: 563 ms, total: 9.89 s
Wall time: 9.91 s
Out[358]:
[(5.0000000000000009, 'Postman, The (1997)'),
(5.0, 'Women, The (1939)'),
(5.0, 'Winter Guest, The (1997)'),
(5.0, "She's the One (1996)"),
(5.0, 'Shadow Conspiracy (1997)'),
(5.0, 'Seventh Seal, The (Sjunde inseglet, Det) (1957)'),
(5.0, 'Sense and Sensibility (1995)'),
(5.0, "Schindler's List (1993)"),
(5.0, 'Rear Window (1954)'),
(5.0, 'Philadelphia (1993)'),
(5.0, 'Matilda (1996)'),
(5.0, 'Love Jones (1997)'),
(5.0, 'Leaving Las Vegas (1995)'),
(5.0, 'Kids (1995)'),
(5.0, "It's a Wonderful Life (1946)"),
(5.0, 'It Happened One Night (1934)'),
(5.0, 'Great Dictator, The (1940)'),
(5.0, 'Big Lebowski, The (1998)'),
(5.0, 'American President, The (1995)'),
(4.5522898401481484, 'Thousand Acres, A (1997)'),
(4.3717778769846021, 'Desperate Measures (1998)'),
(4.2753227231893352, 'Titanic (1997)'),
(4.2733948756213609, 'Rainmaker, The (1997)'),
(4.2148784307905158, 'Anna Karenina (1997)'),
(4.0598326384530221, 'L.A. Confidential (1997)'),
(4.0275325817142607, 'Mrs. Dalloway (1997)'),
(4.0207157535182798, 'Kiss the Girls (1997)'),
(4.0090443890632832, "Eve's Bayou (1997)"),
(4.0, 'Wedding Singer, The (1998)'),
(4.0, 'Time to Kill, A (1996)')]
In [364]:
get_recommendations = recommend_movies_optimized
Comparison with current implementation
In [360]:
import recommendations as rec
In [366]:
%time rec.get_recommendations(db, "1")
CPU times: user 1min 5s, sys: 5.06 s, total: 1min 10s
Wall time: 1min 10s
Out[366]:
[(5.0, 'They Made Me a Criminal (1939)'),
(5.0, 'Star Kid (1997)'),
(5.0, "Someone Else's America (1995)"),
(5.0, 'Santa with Muscles (1996)'),
(5.0, 'Saint of Fort Washington, The (1993)'),
(5.0, 'Prefontaine (1997)'),
(5.0, 'Marlene Dietrich: Shadow and Light (1996) '),
(5.0, 'Little City (1998)'),
(5.0, 'Aiqing wansui (1994)'),
(4.999999999999999, 'Great Day in Harlem, A (1994)'),
(4.768149552524299, 'Two or Three Things I Know About Her (1966)'),
(4.682633172633338, 'Anna (1996)'),
(4.623726612933918, 'Pather Panchali (1955)'),
(4.521589387248104, 'Close Shave, A (1995)'),
(4.515144270419964, "Some Mother's Son (1996)"),
(4.514962379404503, 'Aparajito (1956)'),
(4.502557827437198, 'Casablanca (1942)'),
(4.501965635892865, 'Hearts and Minds (1996)'),
(4.467929758957103, 'Everest (1998)'),
(4.467775885199613, "Schindler's List (1993)"),
(4.452311232743258, 'Rear Window (1954)'),
(4.430827645329046, 'Leading Man, The (1996)'),
(4.398314267646154, 'Third Man, The (1949)'),
(4.3947974710963775, 'Some Folks Call It a Sling Blade (1993)'),
(4.390203496843857, 'Secrets & Lies (1996)'),
(4.34909291778014, 'Paths of Glory (1957)'),
(4.345242465632432, 'Lawrence of Arabia (1962)'),
(4.344443858820902, 'Nico Icon (1995)'),
(4.3264677316042945, "One Flew Over the Cuckoo's Nest (1975)"),
(4.314308361156362, 'Laura (1944)'),
(4.314275801365875, 'North by Northwest (1959)'),
(4.311326613800141,
'Double vie de V\xe9ronique, La (Double Life of Veronique, The) (1991)'),
(4.308016923974665, 'Sum of Us, The (1994)'),
(4.29596052752967, 'Titanic (1997)'),
(4.285639229065141, 'Kaspar Hauser (1993)'),
(4.2797314479007875, 'Faust (1994)'),
(4.27824205842774, 'Vertigo (1958)'),
(4.2740929508288605, 'Affair to Remember, An (1957)'),
(4.271558053893983, 'Raise the Red Lantern (1991)'),
(4.269331556993012, 'To Kill a Mockingbird (1962)'),
(4.253666772646136, 'Golden Earrings (1947)'),
(4.253520726082724, 'High Noon (1952)'),
(4.25221692505489, 'Manchurian Candidate, The (1962)'),
(4.251117417656437, 'Ruling Class, The (1972)'),
(4.247941277765001,
'Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb (1963)'),
(4.246388406588333, 'When We Were Kings (1996)'),
(4.24352564199214, 'L.A. Confidential (1997)'),
(4.237693643940662, 'Boys of St. Vincent, The (1993)'),
(4.236767684766707, 'Bitter Sugar (Azucar Amargo) (1996)'),
(4.234506534412614, 'Killing Fields, The (1984)'),
(4.232212198734196, 'Wedding Gift, The (1994)'),
(4.2227067528677855, 'Maltese Falcon, The (1941)'),
(4.209832877464033, 'Crossfire (1947)'),
(4.2094554091929135, 'Ran (1985)'),
(4.209445517317285, 'Great Escape, The (1963)'),
(4.196531137090107, 'Boot, Das (1981)'),
(4.194113451667223, 'Thin Man, The (1934)'),
(4.192378200415159, 'Chinatown (1974)'),
(4.188269633393619, 'Before the Rain (Pred dozhdot) (1994)'),
(4.183159394548041, 'Whole Wide World, The (1996)'),
(4.178883464092049, 'Letter From Death Row, A (1998)'),
(4.173915225266734, 'African Queen, The (1951)'),
(4.172932353016253, 'M (1931)'),
(4.167336256224223, 'Philadelphia Story, The (1940)'),
(4.167115137370936, 'Braindead (1992)'),
(4.163811023154938, 'Meet John Doe (1941)'),
(4.1593134614044995, 'Treasure of the Sierra Madre, The (1948)'),
(4.1542987115568755, 'Big Sleep, The (1946)'),
(4.15343552503144, 'Roman Holiday (1953)'),
(4.15290524471087, 'All About Eve (1950)'),
(4.146186848497665, 'Persuasion (1995)'),
(4.145617466958719, '39 Steps, The (1935)'),
(4.143816043058301, 'Notorious (1946)'),
(4.134737528967017, "Boy's Life 2 (1997)"),
(4.1331086090158, 'Inspector General, The (1949)'),
(4.132364896911864, 'Duck Soup (1933)'),
(4.131853365952943, 'Love in the Afternoon (1957)'),
(4.123271308122241, 'Waiting for Guffman (1996)'),
(4.12311289213235, '8 1/2 (1963)'),
(4.122801353763254, "It's a Wonderful Life (1946)"),
(4.118953359048889, 'Sunset Blvd. (1950)'),
(4.11845083390682, 'Top Hat (1935)'),
(4.099448446367682, 'Hard Eight (1996)'),
(4.099416861973534, 'Glory (1989)'),
(4.094918835236782, 'Cool Hand Luke (1967)'),
(4.09384141417567, 'Quiet Man, The (1952)'),
(4.089229146783533, 'Die xue shuang xiong (Killer, The) (1989)'),
(4.088959036537182, 'Once Were Warriors (1994)'),
(4.08122935152445, 'My Man Godfrey (1936)'),
(4.0793945031217245, 'Apt Pupil (1998)'),
(4.077481660694603, 'Man Who Would Be King, The (1975)'),
(4.073808218448152, 'Sense and Sensibility (1995)'),
(4.071336941965591, 'Magic Hour, The (1998)'),
(4.070106231810701, 'It Happened One Night (1934)'),
(4.0643319468227785, 'Wings of Desire (1987)'),
(4.062601948178812, 'Strictly Ballroom (1992)'),
(4.062423958305295, 'Great Dictator, The (1940)'),
(4.0622829426756075, 'Magnificent Seven, The (1954)'),
(4.055511850233321, 'Some Like It Hot (1959)'),
(4.051410521628911, 'Arsenic and Old Lace (1944)'),
(4.049782163106971, 'Gandhi (1982)'),
(4.047371216693525, 'My Life as a Dog (Mitt liv som hund) (1985)'),
(4.0429104255369035,
'Paradise Lost: The Child Murders at Robin Hood Hills (1996)'),
(4.03716579470467, 'To Catch a Thief (1955)'),
(4.0346488845998225, "Singin' in the Rain (1952)"),
(4.034145597028222, 'Hamlet (1996)'),
(4.029204750872573, 'As Good As It Gets (1997)'),
(4.027653040394667, 'Charade (1963)'),
(4.025400451187104, 'Gaslight (1944)'),
(4.020867483955291, 'Local Hero (1983)'),
(4.019332851168276, 'Butch Cassidy and the Sundance Kid (1969)'),
(4.017624083553664, 'Fresh (1994)'),
(4.005952749758068, 'Wild Bunch, The (1969)'),
(4.005394445766769, 'Shine (1996)'),
(4.002354379351474, 'Rebecca (1940)'),
(4.0, 'Witness (1985)'),
(4.0, 'Wings of Courage (1995)'),
(4.0, 'Window to Paris (1994)'),
(4.0, 'Tokyo Fist (1995)'),
(4.0, 'The Innocent (1994)'),
(4.0, 'Stonewall (1995)'),
(4.0, 'Spirits of the Dead (Tre passi nel delirio) (1968)'),
(4.0, 'Spanish Prisoner, The (1997)'),
(4.0, 'Show, The (1995)'),
(4.0, 'Scarlet Letter, The (1926)'),
(4.0, 'Run of the Country, The (1995)'),
(4.0, 'Object of My Affection, The (1998)'),
(4.0, 'Mamma Roma (1962)'),
(4.0, 'Lady of Burlesque (1943)'),
(4.0, 'Killer: A Journal of Murder (1995)'),
(4.0, "Jupiter's Wife (1994)"),
(4.0, 'It Takes Two (1995)'),
(4.0, 'Innocents, The (1961)'),
(4.0, "I Don't Want to Talk About It (De eso no se habla) (1993)"),
(4.0, 'He Walked by Night (1948)'),
(4.0, 'Gate of Heavenly Peace, The (1995)'),
(4.0, 'Farmer & Chase (1995)'),
(4.0, 'Desert Winds (1995)'),
(4.0, 'Death in Brunswick (1991)'),
(4.0, 'Damsel in Distress, A (1937)'),
(4.0, 'C\xe9r\xe9monie, La (1995)'),
(4.0, 'Celestial Clockwork (1994)'),
(4.0, 'Butcher Boy, The (1998)'),
(4.0, 'Brothers in Trouble (1995)'),
(4.0, 'Big Bang Theory, The (1994)'),
(4.0, 'Beans of Egypt, Maine, The (1994)'),
(4.0, 'American Dream (1990)'),
(3.9926112294438956, 'Farewell My Concubine (1993)'),
(3.992208914259682, "Sophie's Choice (1982)"),
(3.991765036048694, 'To Live (Huozhe) (1994)'),
(3.99141528871411, 'Lost Horizon (1937)'),
(3.990640047368697, 'Little Princess, The (1939)'),
(3.9893313595071827, 'For Whom the Bell Tolls (1943)'),
(3.9872466285394235, 'Brassed Off (1996)'),
(3.9853031430244417, 'City of Lost Children, The (1995)'),
(3.9850986472943766, 'Double Happiness (1994)'),
(3.984996136657843, 'In the Name of the Father (1993)'),
(3.978405544803044, 'Night on Earth (1991)'),
(3.974391819291983, 'Shallow Grave (1994)'),
(3.970669514730922,
'Return of Martin Guerre, The (Retour de Martin Guerre, Le) (1982)'),
(3.9700632668818194, 'Shadowlands (1993)'),
(3.9698462210182437, 'Trust (1990)'),
(3.9683715788308684, 'East of Eden (1955)'),
(3.9676179671460963, 'Touch of Evil (1958)'),
(3.9667434732526594, 'Foreign Correspondent (1940)'),
(3.9664826022992163, 'His Girl Friday (1940)'),
(3.9651210432702326, 'Spellbound (1945)'),
(3.96063689844747, 'Annie Hall (1977)'),
(3.9595509678009937, 'Day the Earth Stood Still, The (1951)'),
(3.956587233123225, 'Walkabout (1971)'),
(3.952212402574117, 'Down by Law (1986)'),
(3.947097994243276, 'Trainspotting (1996)'),
(3.946799890882679, 'Thirty-Two Short Films About Glenn Gould (1993)'),
(3.9452644125309004, 'Month by the Lake, A (1995)'),
(3.9431867288248497, 'Being There (1979)'),
(3.942429637524551, 'Beautiful Thing (1996)'),
(3.9416795225208703, 'Dial M for Murder (1954)'),
(3.9407682512667788, 'Quiet Room, The (1996)'),
(3.9370371813324794, 'Once Upon a Time in the West (1969)'),
(3.932565772088692, "C'est arriv\xe9 pr\xe8s de chez vous (1992)"),
(3.9318308124523114, 'Harold and Maude (1971)'),
(3.929888845176955, 'Rosencrantz and Guildenstern Are Dead (1990)'),
(3.9282531601584285, 'Primary Colors (1998)'),
(3.924625884955202, 'Flirt (1995)'),
(3.9238429938244215, 'Farewell to Arms, A (1932)'),
(3.9216673946448486, 'Thieves (Voleurs, Les) (1996)'),
(3.918920758104656, 'Christmas Carol, A (1938)'),
(3.9176935660662218, 'Mrs. Brown (Her Majesty, Mrs. Brown) (1997)'),
(3.9152065794078537, 'Safe (1995)'),
(3.907971965896906, 'Cosi (1996)'),
(3.906715502413803, 'Philadelphia (1993)'),
(3.9008569467058236, 'Crooklyn (1994)'),
(3.8956234389611333, 'Forbidden Planet (1956)'),
(3.8847845051414023, 'My Left Foot (1989)'),
(3.8841255138144786, 'Big Lebowski, The (1998)'),
(3.88411879930257,
'Like Water For Chocolate (Como agua para chocolate) (1992)'),
(3.8800082560884177, 'Living in Oblivion (1995)'),
(3.8797106374164563, 'Ben-Hur (1959)'),
(3.878172831153474, 'My Favorite Season (1993)'),
(3.8743668227775143, 'Streetcar Named Desire, A (1951)'),
(3.8732191298475573, 'Apartment, The (1960)'),
(3.872588329424799, 'Gay Divorcee, The (1934)'),
(3.8722956456473243, 'Mina Tannenbaum (1994)'),
(3.871692603414692, 'Stand by Me (1986)'),
(3.8704317557293013, 'In the Bleak Midwinter (1995)'),
(3.8689880642370684, 'Celluloid Closet, The (1995)'),
(3.865971773271836, 'Bringing Up Baby (1938)'),
(3.8647870192195946, 'Adventures of Robin Hood, The (1938)'),
(3.862790447229482, 'Donnie Brasco (1997)'),
(3.858186686680705, 'Beat the Devil (1954)'),
(3.858073026838916, 'A Chef in Love (1996)'),
(3.852209842992686, 'Deer Hunter, The (1978)'),
(3.8518994477354016, 'Amistad (1997)'),
(3.8488327716692714, 'Bonnie and Clyde (1967)'),
(3.8467119864181, 'Bob Roberts (1992)'),
(3.8410551712161065, 'Sabrina (1954)'),
(3.839977670556372, 'Birds, The (1963)'),
(3.8390165155056355, 'E.T. the Extra-Terrestrial (1982)'),
(3.837841734294195, 'Rebel Without a Cause (1955)'),
(3.836566742308004, 'Burnt By the Sun (1994)'),
(3.836480553599936, 'Shall We Dance? (1937)'),
(3.8332219071528937, 'Incognito (1997)'),
(3.8325885893950673, 'Short Cuts (1993)'),
(3.8316050233883825, "Margaret's Museum (1995)"),
(3.830010330616234, 'Leaving Las Vegas (1995)'),
(3.8294222364314803, 'Stalker (1979)'),
(3.826689307984213, 'Secret of Roan Inish, The (1994)'),
(3.8162370464147863, 'So Dear to My Heart (1949)'),
(3.81392747536216, 'Mediterraneo (1991)'),
(3.813922496989481, 'Bronx Tale, A (1993)'),
(3.8103421682136775, 'Diva (1981)'),
(3.8082094729346627, 'Cat on a Hot Tin Roof (1958)'),
(3.8076186605296773, 'Winnie the Pooh and the Blustery Day (1968)'),
(3.806963241199463, 'Gabbeh (1996)'),
(3.802687653993167, 'Stripes (1981)'),
(3.8012779495713818, 'Underground (1995)'),
(3.8002254487099436,
'Wonderful, Horrible Life of Leni Riefenstahl, The (1993)'),
(3.7961944345411966, 'Enchanted April (1991)'),
(3.7939816780246285, 'Chungking Express (1994)'),
(3.793803096135329, 'Paris Is Burning (1990)'),
(3.7935276449273854, 'Anne Frank Remembered (1995)'),
(3.7928446456566927, "Ulee's Gold (1997)"),
(3.7870909905904413, 'Casino (1995)'),
(3.785958772215435, 'Manhattan (1979)'),
(3.784467291827927, 'Giant (1956)'),
(3.7809110837664046, 'Bullets Over Broadway (1994)'),
(3.778693716021738, 'Ninotchka (1939)'),
(3.7712329113300593, 'Fille seule, La (A Single Girl) (1995)'),
(3.770632491183878, 'Grosse Fatigue (1994)'),
(3.7635063816486745, 'Face/Off (1997)'),
(3.763322706007145, 'Swimming with Sharks (1995)'),
(3.7594060028972556, 'Six Degrees of Separation (1993)'),
(3.757498342238751, 'Thin Blue Line, The (1988)'),
(3.754361616919439, 'Last Time I Saw Paris, The (1954)'),
(3.7510690709019796, 'In the Line of Fire (1993)'),
(3.7471047146431573, 'Wings of the Dove, The (1997)'),
(3.742920008492407, 'Heathers (1989)'),
(3.7423121059224878, 'My Family (1995)'),
(3.740396600480007, 'Dead Man (1995)'),
(3.7403083482073307, 'Tin Drum, The (Blechtrommel, Die) (1979)'),
(3.74014177179484, 'Fantasia (1940)'),
(3.7385870641770826, 'Little Princess, A (1995)'),
(3.7325194038913403, "Miller's Crossing (1990)"),
(3.7320469490804276, 'Perfect Candidate, A (1996)'),
(3.730615069569311, 'Fried Green Tomatoes (1991)'),
(3.7275494819061983, 'Pinocchio (1940)'),
(3.725724837962816, 'Flirting With Disaster (1996)'),
(3.7235816928663152, 'Blue Angel, The (Blaue Engel, Der) (1930)'),
(3.722422975411309, 'Emma (1996)'),
(3.719043708837082, 'Looking for Richard (1996)'),
(3.7187026328300203, 'To Be or Not to Be (1942)'),
(3.716708810035909, 'Jeffrey (1995)'),
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'Last Klezmer: Leopold Kozlowski, His Life and Music, The (1995)'),
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...]
In [367]:
%time get_recommendations(db, "1", pearson_similarity)
CPU times: user 9.79 s, sys: 599 ms, total: 10.4 s
Wall time: 10.4 s
Out[367]:
[(5.0000000000000009, 'Postman, The (1997)'),
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(5.0, 'Love Jones (1997)'),
(5.0, 'Leaving Las Vegas (1995)'),
(5.0, 'Kids (1995)'),
(5.0, "It's a Wonderful Life (1946)"),
(5.0, 'It Happened One Night (1934)'),
(5.0, 'Great Dictator, The (1940)'),
(5.0, 'Big Lebowski, The (1998)'),
(5.0, 'American President, The (1995)'),
(4.5522898401481484, 'Thousand Acres, A (1997)'),
(4.3717778769846021, 'Desperate Measures (1998)'),
(4.2753227231893352, 'Titanic (1997)'),
(4.2733948756213609, 'Rainmaker, The (1997)'),
(4.2148784307905158, 'Anna Karenina (1997)'),
(4.0598326384530221, 'L.A. Confidential (1997)'),
(4.0275325817142607, 'Mrs. Dalloway (1997)'),
(4.0207157535182798, 'Kiss the Girls (1997)'),
(4.0090443890632832, "Eve's Bayou (1997)"),
(4.0, 'Wedding Singer, The (1998)'),
(4.0, 'Time to Kill, A (1996)')]
In [368]:
%time get_recommendations(db, "1", euclidean_similarity)
CPU times: user 9.51 s, sys: 659 ms, total: 10.2 s
Wall time: 10.2 s
Out[368]:
[(5.0, 'True Lies (1994)'),
(5.0, 'To Kill a Mockingbird (1962)'),
(5.0, 'Tango Lesson, The (1997)'),
(5.0, 'Spice World (1997)'),
(5.0, 'Shadow Conspiracy (1997)'),
(5.0, 'Sense and Sensibility (1995)'),
(5.0, "Schindler's List (1993)"),
(5.0, 'Roman Holiday (1953)'),
(5.0, 'Postman, The (1997)'),
(5.0, 'Piano, The (1993)'),
(5.0, 'Lawrence of Arabia (1962)'),
(5.0, 'It Happened One Night (1934)'),
(5.0, 'Great Escape, The (1963)'),
(5.0, 'Fried Green Tomatoes (1991)'),
(5.0, 'Fire Down Below (1997)'),
(5.0, 'Face/Off (1997)'),
(5.0,
'Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb (1963)'),
(5.0, 'Desperate Measures (1998)'),
(5.0, 'Dark City (1998)'),
(5.0, 'Casablanca (1942)'),
(5.0, 'Career Girls (1997)'),
(5.0, 'Bridges of Madison County, The (1995)'),
(5.0, 'Big Lebowski, The (1998)'),
(5.0, 'Bent (1997)'),
(4.5278640450004204, 'Winter Guest, The (1997)'),
(4.4285714285714288, 'Washington Square (1997)'),
(4.4087536869004067, 'Wedding Singer, The (1998)'),
(4.4012734754589342, 'Cool Hand Luke (1967)'),
(4.2360679774997898, 'Midnight in the Garden of Good and Evil (1997)'),
(4.2000000000000002, 'Money Talks (1997)')]
In [ ]:
Content source: uson-ia/sistemas-de-recomendacion
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