If You Like The Reader(2009)
Based on real preference data from thousands of voters, here's what fans of The Reader also love.
87 connections found
#149xRevolutionary Road
2009
#225xAtonement
2008
#323xCloser
2004
#421xVicky Cristina Barcelona
2008
#520xAn Education
2009
#620xThe Pianist
2003
#719xThe Curious Case of Benjamin Button
2008
#816xThe Virgin Suicides
2000
#913xPerfume: The Story of a Murderer
2007
#1012xA Beautiful Mind
2002
#1112xBefore Sunrise
1995
#1210xMillion Dollar Baby
2005
#1310.0xThe King's Speech
2010
#149.9xMidnight in Paris
2011
#159.1xThe Theory of Everything
2014
#168.4xBlack Swan
2010
#178.1xA Clockwork Orange
1972
#187.9xAmerican Beauty
1999
#197.7xThe Terminal
2004
#207.7xSilver Linings Playbook
2012
#217.6xSlumdog Millionaire
2009
#227.5xDead Poets Society
1989
#237.4xRain Man
1988
#247.4xBig Fish
2004
#256.9xInto the Wild
2007memento
#276.7xThe Pursuit of Happyness
2006
#286.0xThe Notebook
2004
#295.9xLost in Translation
2003
#305.9xTitanic
1997
#315.7xSchindler's List
1994
#325.6xAmélie
2001
#335.4xLittle Miss Sunshine
2006
#345.3xLéon: The Professional
1994
#355.2xThe Social Network
2010
#365.2xGone Girl
2014
#375.1xThe Butterfly Effect
2004
#385.0x(500) Days of Summer
2009
#395.0xHer
2014
#404.9xCast Away
2000El laberinto del fauno
2006
#424.6xGood Will Hunting
1998
#434.4xThe Grand Budapest Hotel
2014
#444.4xThe Green Mile
1999
#454.4xKill Bill: Vol. 1
2003
#464.3xJuno
2007
#474.3xRequiem for a Dream
2000
#484.3xThe Imitation Game
2014
#494.2xThe Perks of Being a Wallflower
2012
#504.1xEx Machina
2015
#514.0xEternal Sunshine of the Spotless Mind
2004
#524.0xThe Sixth Sense
1999
#533.9xWhiplash
2014
#543.9xSe7en
1995
#553.9xWALL·E
2008
#563.8xThe Godfather
1972
#573.7xTrainspotting
1996
#583.6xEdward Scissorhands
1990
#593.6xCatch Me If You Can
2003
#603.5xThe Breakfast Club
1985
#613.5xThe Silence of the Lambs
1991
#623.5xForrest Gump
1994
#633.4xV for Vendetta
2006
#643.4xThe Shining
1980
#653.3xThe Wolf of Wall Street
2013
#663.3xAmerican History X
1998
#673.2xShutter Island
2010
#683.2xThe Shawshank Redemption
1994
#693.2xThe Prestige
2006
#703.0xThe Departed
2006
#713.0xAmerican Psycho
2000
#723.0xThe Truman Show
1998
#732.9xUp
2009
#742.8xGladiator
2000
#752.7xDonnie Darko
2001
#762.6xInglourious Basterds
2009
#772.6xDjango Unchained
2012
#782.4xReservoir Dogs
1992
#792.4xThe Lord of the Rings: The Return of the King
2003
#802.4xThe Lord of the Rings: The Two Towers
2002
#812.3xInterstellar
2014
#822.3xFight Club
1999
#832.2xPulp Fiction
1994Harry Potter and the Sorcerer's Stone
2001
#852.1xInception
2010
#861.9xThe Dark Knight
2008
#871.9xThe Matrix
1999How 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 The Reader consistently tend to also love certain other things. The "strength" score shows how much more likely fans of The Reader 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.