
If You Like Ken Park(2003)
Based on real preference data from thousands of voters, here's what fans of Ken Park also love.
131 connections found
#1158xBully
2017
#2145xJulien Donkey-Boy
2000
#3139xParanoid Park
2007
#497xMean Creek
2004
#593xThe Doom Generation
1995
#691xGummo
1997
#776xKids
1995
#861xElephant
2003
#960xMysterious Skin
2005
#1057xSpun
2003
#1155xThumbsucker
2005
#1252xHappiness
1998
#1345xParty Monster
2003
#1445xWelcome to the Dollhouse
1996
#1544xProzac Nation
2003
#1643xRunning with Scissors
2006
#1743xBuffalo '66
1998
#1843xIrreversible
2002
#1941xAntichrist
2009
#2039xFunny Games
1997SLC Punk!
1999
#2234xThirteen
2003
#2333xThe Dreamers
2011
#2433xNaked Lunch
1992
#2533xThe Basketball Diaries
1995
#2633xEnter the Void
2010
#2732xDogtooth
2009
#2830xJawbreaker
1999
#2927xSynecdoche, New York
2009
#3027xHard Candy
2006
#3126xBrick
2006
#3225xThe Squid and the Whale
2005
#3324xLost Highway
1997
#3423xGhost World
2001
#3522xEraserhead
1978
#3620xWe Need to Talk About Kevin
2011
#3720xBlue Velvet
1986
#3820xNatural Born Killers
1994
#3918xMelancholia
2011
#4018xBoogie Nights
1997
#4117xTrue Romance
1993mulholland dr.
#4316xThe Craft
1996
#4415xHeathers
1989
#4515xEyes Wide Shut
1999
#4615xBlow
2001
#4714xFear and Loathing in Las Vegas
1998
#4814xRushmore
1999
#4914xPi
1998
#5014xMagnolia
2000
#5114xDeath Proof
2007
#5214xFrom Dusk Till Dawn
1996
#5312xBurn After Reading
2008
#5412xA Scanner Darkly
2006
#5512xVanilla Sky
2001
#5612xGarden State
2004
#5712xThank You for Smoking
2006
#5811xThe Darjeeling Limited
2007
#5911xThe Royal Tenenbaums
2002
#6011xThe Machinist
2004
#6111xThe Life Aquatic with Steve Zissou
2004
#6211xJackie Brown
1997
#6310xBeing John Malkovich
1999
#6410xTaxi Driver
1981
#659.8xPsycho
1960
#669.6xThere Will Be Blood
2008
#679.5xRequiem for a Dream
2000
#689.0xTrainspotting
1996
#698.2xLost in Translation
2003
#708.2xZodiac
2007
#718.2xMoon
2009
#728.0xAmerican Psycho
2000
#737.8xLittle Miss Sunshine
2006
#747.7x2001: A Space Odyssey
1968
#757.7xFull Metal Jacket
1987
#767.6xDrive
2011
#777.5xLock, Stock and Two Smoking Barrels
1998
#787.3xFargo
1996
#797.3xThe Shining
1980
#807.2xSin City
2005
#817.2xAmerican History X
1998
#827.1xBlack Swan
2010
#837.0xThe Butterfly Effect
2004
#846.8xInto the Wild
2007
#856.7xTwelve Monkeys
1996
#866.7xMoonrise Kingdom
2012
#876.6xJuno
2007
#886.5xDonnie Darko
2001
#896.4xBig Fish
2004El laberinto del fauno
2006
#916.0xEdward Scissorhands
1990
#925.9xNightcrawler
2014
#935.9xThe Big Lebowski
1998
#945.9xReservoir Dogs
1992
#955.9xNo Country for Old Men
2007
#965.9xSnatch
2001
#975.7xSuperbad
2007
#985.7xKick-Ass
2010
#995.5xDead Poets Society
1989
#1005.5xThe Breakfast Club
1985Goodfellas
1990
#1025.2xScott Pilgrim vs. the World
2010
#1035.2x(500) Days of Summer
2009
#1045.2xEternal Sunshine of the Spotless Mind
2004
#1055.2xHer
2014
#1065.1xShaun of the Dead
2004
#1074.9xAlien
1979
#1084.9xThe Silence of the Lambs
1991
#1094.7xDistrict 9
2009
#1104.5xThe Sixth Sense
1999
#1114.4xSe7en
1995
#1124.3xInglourious Basterds
2009
#1134.2xThe Truman Show
1998
#1144.2xSpirited Away
2001
#1154.1xPulp Fiction
1994
#1164.0xDjango Unchained
2012
#1173.8xThe Godfather
1972
#1183.8xFight Club
1999
#1193.7xV for Vendetta
2006
#1203.6xGood Will Hunting
1998
#1213.6xThe Departed
2006
#1223.6xShutter Island
2010
#1233.5xThe Wolf of Wall Street
2013
#1243.0xCatch Me If You Can
2003
#1252.9xForrest Gump
1994
#1262.8xBack to the Future
1985
#1272.8xThe Shawshank Redemption
1994
#1282.6xThe Matrix
1999
#1292.5xThe Prestige
2006
#1302.2xThe Dark Knight
2008
#1312.2xInception
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 Ken Park consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Ken Park 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.