
If You Like Somewhere(2010)
Based on real preference data from thousands of voters, here's what fans of Somewhere also love.
145 connections found
#167xMartha Marcy May Marlene
2011
#257xBeginners
2011
#353xThe Kids Are All Right
2010
#447xShame
1968
#545xHalf Nelson
2006
#641xA Single Man
2010
#740xBroken Flowers
2005
#838xMarie Antoinette
2006
#937xAway We Go
2009
#1035xManhattan
1979
#1135xAn Education
2009
#1234xBlue Jasmine
2013
#1334xThe Squid and the Whale
2005
#1434xBlue Valentine
2011
#1533xFrances Ha
2013
#1632xMe and You and Everyone We Know
2005
#1732xBottle Rocket
1996
#1831xElephant
2003
#1930xThe Dreamers
2011
#2028xNever Let Me Go
2010
#2128xVicky Cristina Barcelona
2008Blue Is the Warmest Colour
2013
#2326xMelancholia
2011
#2426xCloser
2004
#2526xOnly Lovers Left Alive
2013
#2625xRushmore
1999
#2724xMysterious Skin
2005
#2823xLost in Translation
2003
#2923xGhost World
2001I Heart Huckabees
2004
#3123xPunch-Drunk Love
2002
#3222xAnnie Hall
1977
#3322xBefore Midnight
2013
#3422xHigh Fidelity
2000
#3522xThe Darjeeling Limited
2007
#3621xRuby Sparks
2012
#3720xThe Virgin Suicides
2000
#3820xWe Need to Talk About Kevin
2011
#3920xMidnight in Paris
2011
#4020xA Serious Man
2009
#4120xSynecdoche, New York
2009
#4220xThe Graduate
1967
#4319xThe Life Aquatic with Steve Zissou
2004
#4419xThe Royal Tenenbaums
2002
#4518xUp in the Air
2009
#4618xMoonrise Kingdom
2012
#4717xAdventureland
2009
#4817xGarden State
2004
#4917xBefore Sunset
2004
#5017xBefore Sunrise
1995
#5117xMagnolia
2000Kimaat Mefursemet
2017
#5316x50/50
2011mulholland dr.
#5514xEyes Wide Shut
1999
#5614xBlue Velvet
1986
#5714xBoyhood
2014
#5813xFantastic Mr. Fox
2009
#5913xThe Lobster
2015
#6013xIt's Kind of a Funny Story
2010
#6113xLady Bird
2017
#6213xHeathers
1989
#6312xNick and Norah's Infinite Playlist
2008
#6412xHard Candy
2006
#6512xDrive
2011
#6611xVanilla Sky
2001
#6711xThank You for Smoking
2006
#6811xBeing John Malkovich
1999
#6910xLittle Miss Sunshine
2006
#7010.0xSilver Linings Playbook
2012
#719.4xBurn After Reading
2008
#729.4xHer
2014
#739.3xBlack Swan
2010
#749.2xNatural Born Killers
1994
#759.0xThere Will Be Blood
2008
#768.7xJuno
2007
#778.5xBig Fish
2004
#788.4xInto the Wild
2007
#798.2xIn Bruges
2008
#808.2xFear and Loathing in Las Vegas
1998
#818.2xZodiac
2007
#828.1xClueless
1995
#837.8xMoon
2009
#847.7xTrainspotting
1996
#857.4xThe Grand Budapest Hotel
2014
#867.3xAmélie
2001
#877.2xDead Poets Society
1989
#887.2x(500) Days of Summer
2009
#897.0xRequiem for a Dream
2000
#906.9xThe Breakfast Club
1985
#916.8xThe Machinist
2004
#926.3xFargo
1996
#936.2x2001: A Space Odyssey
1968
#946.2x10 Things I Hate About You
1999
#956.1xThe Shining
1980
#966.0xThe Perks of Being a Wallflower
2012
#976.0xNightcrawler
2014
#985.9xAmerican Psycho
2000
#995.9xEternal Sunshine of the Spotless Mind
2004
#1005.9xThe Big Lebowski
1998
#1015.7xThe Social Network
2010
#1025.7xEdward Scissorhands
1990
#1035.7xBeetlejuice
1988
#1045.7xWhiplash
2014
#1055.6xBlade Runner
1982El laberinto del fauno
2006
#1075.5xNo Country for Old Men
2007
#1085.5xGroundhog Day
1993
#1095.4xScott Pilgrim vs. the World
2010
#1105.3xDonnie Darko
2001
#1115.1xSuperbad
2007
#1125.1xGone Girl
2014
#1134.9xSin City
2005
#1144.8xEasy A
2010
#1154.6xEx Machina
2015
#1164.5xMean Girls
2004
#1174.4xAmerican History X
1998
#1184.4xInglourious Basterds
2009
#1194.3xReservoir Dogs
1992
#1204.2xShaun of the Dead
2004
#1214.2xSpirited Away
2001
#1224.1xThe Truman Show
1998
#1234.1xPulp Fiction
1994
#1244.0xThe Sixth Sense
1999
#1254.0xSnatch
2001Goodfellas
1990
#1273.9xThe Silence of the Lambs
1991
#1283.8xDjango Unchained
2012
#1293.8xGood Will Hunting
1998
#1303.7xThe Departed
2006
#1313.5xShutter Island
2010
#1323.5xThe Wolf of Wall Street
2013
#1333.4xV for Vendetta
2006
#1343.4xCatch Me If You Can
2003
#1353.2xUp
2009
#1363.1xSe7en
1995
#1373.1xThe Prestige
2006
#1383.0xFight Club
1999
#1393.0xBack to the Future
1985
#1402.9xThe Matrix
1999
#1412.8xInception
2010
#1422.6xForrest Gump
1994
#1432.4xThe Dark Knight
2008
#1442.2xInterstellar
2014
#1452.2xThe Shawshank Redemption
1994How 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 Somewhere consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Somewhere 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.