If You Like In the Mood for Love(2001)
MoviesBased on real preference data from thousands of voters, here's what fans of In the Mood for Love also love. Use these connections to discover your next favorite.
204 connections found
#1208xChungking Express
1996Chun Gwong Cha Sit
1997
#3150x2046
2004
#4119xThree Colors: Red
1994
#5111xThree Colors: Blue
1993
#6103xPersona
1967
#770xBicycle Thieves
1949
#866xThe Seventh Seal
1957
#963xBreathless
1961
#1062xParis, Texas
1984
#1156x8½
1963Ah-ga-ssi
2016Mulholland Dr.
2001
#1439xBarry Lyndon
1975
#1539xThe Favourite
2018
#1637xStalker
1980mulholland drive
#1836xManhattan
1979
#1935xSuspiria
1977
#2034xDogtooth
2009
#2133xOnly Lovers Left Alive
2013
#2233xMetropolis
1927
#2332xDogville
2004
#2432xFrances Ha
2013
#2531xThe Killing of a Sacred Deer
2017
#2631xMarriage Story
2019
#2730xDancer in the Dark
2000
#2830xLost Highway
1997
#2929xBefore Sunset
2004
#3029xAmores Perros
2000
#3129xAnnie Hall
1977
#3229xThe Lives of Others
2006
#3329xTwin Peaks: Fire Walk with Me
1992
#3428xBefore Midnight
2013
#3527xMelancholia
2011
#3627xOldboy
2003
#3727xBefore Sunrise
1995
#3827xCitizen Kane
1941
#3927xVertigo
1958
#4026xLet the Right One In
2008
#4124xEnter the Void
2010
#4224xChinatown
1974
#4323xSynecdoche, New York
2009
#4423xRear Window
1954
#4523xThe Graduate
1967
#4623xThe Hunt
2013
#4723xBabel
2006
#4823xCasablanca
1943
#4923xThe Lobster
2015
#5023xBlue Velvet
1986
#5123xRosemary's Baby
1968
#5222xEraserhead
1978
#5322xCity of God
2004
#5421xMagnolia
2000
#5521xMoonlight
2016
#5621xAdaptation.
2003
#5721xPunch-Drunk Love
2002
#5821xBlue Valentine
2011
#5920xAmadeus
1984
#6020xCloser
2004
#6120xEyes Wide Shut
1999
#6220xRaging Bull
1980
#6320xDog Day Afternoon
1975
#6419xWe Need to Talk About Kevin
2011
#6519xParasite
2019
#6619xTaxi Driver
1976
#6718xPaprika
2007
#6818xLost in Translation
2003
#6918xBrazil
1985
#7016xBoogie Nights
1997
#7116xLady Bird
2017
#7216xMidnight in Paris
2011
#7316xRushmore
1999
#7415xBreakfast at Tiffany's
1961
#7515xMidsommar
2019The Godfather: Part II
1974
#7715xDr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb
1964
#7815xBoyhood
2014
#7914xBirdman or (The Unexpected Virtue of Ignorance)
2014
#8014xDrive
2011
#8114xPsycho
1960
#8213xHereditary
2018
#8313xKill Bill: Vol. 2
2004
#8413xGhost World
2001
#8513xThe Royal Tenenbaums
2002
#8613xThe Darjeeling Limited
2007
#8712x12 Angry Men
1957
#8812xPi
1998
#8912xMoonrise Kingdom
2012
#9012xHer
2014
#9112x2001: A Space Odyssey
1968
#9212xL.A. Confidential
1997
#9312xThere Will Be Blood
2008
#9412xJackie Brown
1997
#9512xApocalypse Now
1979
#9611xFantastic Mr. Fox
2009
#9711xBlade Runner
1982
#9811xBurn After Reading
2008
#9911xAmélie
2001
#10011xThe Life Aquatic with Steve Zissou
2004
#10110xBlack Swan
2010
#10210xNatural Born Killers
1994
#10310xBeing John Malkovich
1999
#10410xIn Bruges
2008
#10510xMy Neighbor Totoro
1990
#10610xDead Poets Society
1989
#10710xLéon: The Professional
1994
#1089.8xGet Out
2017
#1099.8xThe Grand Budapest Hotel
2014
#1109.7xZodiac
2007
#1119.7xCasino
1995
#1129.5xBlade Runner 2049
2017
#1139.4xMr. Nobody
2013
#1149.3xFargo
1996
#1159.1xScarface
1983
#1169.1xPrincess Mononoke
1997El laberinto del fauno
2006
#1188.9xThe Hateful Eight
2015
#1198.8xThe Shining
1980
#1208.8xBig Fish
2004
#1218.8xMemento
2001
#1228.7xLittle Miss Sunshine
2006
#1238.7xNightcrawler
2014
#1248.7xFull Metal Jacket
1987
#1258.6xJoker
2019
#1268.6xPrisoners
2013
#1278.6xTaxi Driver
1981
#1288.3xRequiem for a Dream
2000
#1298.2xThe King's Speech
2010
#1308.2xTrainspotting
1996
#1318.0xFear and Loathing in Las Vegas
1998
#1327.9xSpirited Away
2001
#1337.8xThe Godfather
1972
#1347.8xWhiplash
2014
#1357.8xEternal Sunshine of the Spotless Mind
2004Goodfellas
1990
#1377.5xRain Man
1988
#1387.5xA Clockwork Orange
1972
#1397.5xNo Country for Old Men
2007
#1407.5xMonty Python and the Holy Grail
1975
#1417.4xThe Big Lebowski
1998
#1427.2xAmerican Psycho
2000
#1437.0xGone Girl
2014
#1447.0xKill Bill: Vol. 1
2003
#1456.9xReservoir Dogs
1992
#1466.9xInto the Wild
2007
#1476.9xBeetlejuice
1988
#1486.8xSchindler's List
1994
#1496.7xEx Machina
2015
#1506.7xHowl's Moving Castle
2005
#1516.7xThe Machinist
2004
#1526.5xGroundhog Day
1993
#1536.5xArrival
2016
#1546.4xMoon
2009
#1556.4xSlumdog Millionaire
2009
#1566.1xLock, Stock and Two Smoking Barrels
1998
#1576.1xThe Breakfast Club
1985
#1586.0xThe Social Network
2010
#1595.9xAlien
1979
#1605.8xThe Truman Show
1998
#1615.6xEdward Scissorhands
1990
#1625.6xThe Departed
2006
#1635.6xInglourious Basterds
2009
#1645.6xDonnie Darko
2001
#1655.5xSe7en
1995
#1665.5xThe Silence of the Lambs
1991
#1675.5xGood Will Hunting
1998
#1685.5xMad Max: Fury Road
2015
#1695.4xJuno
2007
#1705.3xThe Fifth Element
1997
#1715.3xDjango Unchained
2012
#1725.3xAmerican History X
1998
#1735.3x(500) Days of Summer
2009
#1745.3xWALL·E
2008
#1755.2xThe Wolf of Wall Street
2013
#1765.1xPulp Fiction
1994
#1775.0xSin City
2005
#1784.9xThe Green Mile
1999
#1794.9xThe Nightmare Before Christmas
1993
#1804.8xSnatch
2001
#1814.8xThe Perks of Being a Wallflower
2012
#1824.8xThe Prestige
2006
#1834.7xCatch Me If You Can
2003
#1844.6xThe Sixth Sense
1999
#1854.5xRatatouille
2007
#1864.4xShutter Island
2010
#1874.4xScott Pilgrim vs. the World
2010
#1884.3xSaving Private Ryan
1998
#1894.1xFight Club
1999
#1903.8xUp
2009
#1913.8xThe Shawshank Redemption
1994
#1923.7xThe Matrix
1999
#1933.7xV for Vendetta
2006
#1943.7xJurassic Park
1993
#1953.7xBack to the Future
1985
#1963.7xForrest Gump
1994
#1973.3xInterstellar
2014
#1983.2xInception
2010
#1993.2xThe Dark Knight
2008
#2003.1xGladiator
2000
#2012.9xBatman Begins
2005
#2022.9xThe Lord of the Rings: The Two Towers
2002
#2032.8xThe Lord of the Rings: The Fellowship of the Ring
2001
#2042.8xThe Lord of the Rings: The Return of the King
2003How does this work?
These recommendations are based on real voting data, not algorithms. When thousands of people vote on their favorites, patterns emerge — people who love In the Mood for Love consistently tend to also love certain other things. The "strength" score shows how much more likely fans of In the Mood for Love are to enjoy each recommendation compared to the average person.
Unlike algorithmic recommendations, these connections come from actual human preferences. A high strength score means the connection is genuine — not just because two items share a category, but because the same people genuinely love both.