
If You Like Three Colors: Red(1994)
Based on real preference data from thousands of voters, here's what fans of Three Colors: Red also love.
134 connections found
#1532xThree Colors: White
1994
#2426xThree Colors: Blue
1993
#3166xPersona
1967
#4120xThe Seventh Seal
1957In the Mood for Love
2001
#689x8½
1963
#785xParis, Texas
1984Mulholland Dr.
2001mulholland drive
#1053xDancer in the Dark
2000
#1152xDogville
2004
#1250xThe Lives of Others
2006
#1350xMetropolis
1927
#1448xAmores Perros
2000
#1545xVertigo
1958
#1644xLost Highway
1997
#1744xNorth by Northwest
1959
#1840xCitizen Kane
1941
#1938xThe Deer Hunter
1979
#2038xAnnie Hall
1977
#2138xRear Window
1954
#2237xAmadeus
1984
#2337xFrances Ha
2013
#2436xBefore Sunset
2004
#2536xThe Graduate
1967
#2634xMelancholia
2011
#2734xBlue Velvet
1986
#2833xChinatown
1974
#2933xThe Lobster
2015
#3033xPunch-Drunk Love
2002
#3132xRaging Bull
1980
#3232xCity of God
2004
#3332xBefore Sunrise
1995
#3431xOldboy
2003
#3531xMagnolia
2000
#3631xRosemary's Baby
1968
#3730xEraserhead
1978
#3830xCasablanca
1943
#3927xTaxi Driver
1976
#4026xEyes Wide Shut
1999
#4124xPsycho
1960
#4224xMidnight in Paris
2011
#4323xDr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb
1964
#4421xRushmore
1999
#4521xBoyhood
2014
#4621xApocalypse Now
1979
#4721xLady Bird
2017
#4820xPi
1998
#4920xL.A. Confidential
1997
#5020x12 Angry Men
1957
#5120xLost in Translation
2003
#5218x2001: A Space Odyssey
1968
#5318xParasite
2019
#5417xCasino
1995
#5516xThere Will Be Blood
2008
#5616xThe Game
1997
#5716xThe Royal Tenenbaums
2002
#5816xDead Poets Society
1989
#5916xBeing John Malkovich
1999
#6015xBlade Runner
1982
#6115xMoonrise Kingdom
2012
#6215xAmélie
2001
#6315xLéon: The Professional
1994
#6415xFargo
1996
#6514xDrive
2011
#6614xFull Metal Jacket
1987
#6713xRain Man
1988
#6813xHer
2014
#6913xMemento
2001
#7013xA Clockwork Orange
1972
#7113xThe Shining
1980
#7213xThe Grand Budapest Hotel
2014
#7313xInto the Wild
2007
#7412xBig Fish
2004
#7512xSchindler's List
1994El laberinto del fauno
2006
#7712xThe Big Lebowski
1998
#7812xScarface
1983
#7912xZodiac
2007
#8012xBlack Swan
2010
#8112xTrainspotting
1996
#8212xRequiem for a Dream
2000
#8311xThe Machinist
2004
#8411xMoon
2009
#8511xGroundhog Day
1993
#8611xMonty Python and the Holy Grail
1975
#8711xGet Out
2017
#8811xThe Godfather
1972
#8911xLittle Miss Sunshine
2006
#9011xNo Country for Old Men
2007
#9110xNightcrawler
2014
#9210xAlien
1979
#9310.0xEternal Sunshine of the Spotless Mind
2004
#949.9xArrival
2016Goodfellas
1990
#969.8xWhiplash
2014
#979.5xThe Silence of the Lambs
1991
#989.4xGone Girl
2014
#999.3xEx Machina
2015
#1009.1xSpirited Away
2001
#1018.9xGood Will Hunting
1998
#1028.6xReservoir Dogs
1992
#1038.6xThe Breakfast Club
1985
#1048.6xAmerican Psycho
2000
#1058.6xEdward Scissorhands
1990
#1068.5xThe Truman Show
1998
#1078.1xThe Sixth Sense
1999
#1088.1xThe Departed
2006
#1097.9xKill Bill: Vol. 1
2003
#1107.9xThe Green Mile
1999
#1117.6xDonnie Darko
2001
#1127.6xAmerican History X
1998
#1137.5xSe7en
1995
#1147.4xInglourious Basterds
2009
#1157.3xSnatch
2001
#1166.9xWALL·E
2008
#1176.7xSaving Private Ryan
1998
#1186.6xV for Vendetta
2006
#1196.6xDjango Unchained
2012
#1206.3xPulp Fiction
1994
#1216.0xCatch Me If You Can
2003
#1226.0xBack to the Future
1985
#1235.9xThe Shawshank Redemption
1994
#1245.9xShutter Island
2010
#1255.9xThe Prestige
2006
#1265.8xForrest Gump
1994
#1275.7xGladiator
2000
#1285.7xThe Wolf of Wall Street
2013
#1295.7xThe Matrix
1999
#1305.3xFight Club
1999
#1315.1xUp
2009
#1324.7xInterstellar
2014
#1334.1xThe Dark Knight
2008
#1343.9xInception
2010How 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 Three Colors: Red consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Three Colors: Red 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.