If You Like The Great Beauty(2014)
Based on real preference data from thousands of voters, here's what fans of The Great Beauty also love.
108 connections found
Fang hua
2017
#245xOnly Lovers Left Alive
2013
#338xBlue Jasmine
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#433xFrances Ha
2013
#533xThe Hunt
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#631xDogville
2004Blue Is the Warmest Colour
2013
#828xBefore Midnight
2013
#926xDogtooth
2009
#1024xVicky Cristina Barcelona
2008
#1123xThe Lobster
2015
#1223xBabel
2006
#1322xMelancholia
2011
#1421xAnnie Hall
1977
#1521x21 Grams
2004
#1620xSynecdoche, New York
2009
#1720xA Serious Man
2009
#1820xBefore Sunset
2004
#1918xBoyhood
2014mulholland dr.
#2116xBefore Sunrise
1995
#2216xMagnolia
2000
#2316xMidnight in Paris
2011
#2415xDallas Buyers Club
2013
#2515xEyes Wide Shut
1999
#2613xBlue Velvet
1986
#2713xThe Darjeeling Limited
2007
#2813xMoonrise Kingdom
2012
#2913xLost in Translation
2003
#3012xCity of God
2011
#3112xPi
1998
#3212xRushmore
1999
#3312xThe Royal Tenenbaums
2002
#3412xHer
2014
#3511xBirdman or (The Unexpected Virtue of Ignorance)
2014
#3611xThe Grand Budapest Hotel
2014
#3711xThe Life Aquatic with Steve Zissou
2004
#3810xBurn After Reading
2008
#3910xIn Bruges
2008
#409.7xMr. Nobody
2013
#419.5xFantastic Mr. Fox
2009
#429.0xDrive
2011
#438.9xThere Will Be Blood
2008
#448.8xBeing John Malkovich
1999
#458.6xTaxi Driver
1981
#468.5xApocalypse Now
1979
#478.4xPsycho
1960
#488.1x12 Angry Men
1957
#498.1xAmélie
2001
#508.0x2001: A Space Odyssey
1968
#517.7xTrainspotting
1996
#527.5xFargo
1996
#537.5xDead Poets Society
1989
#547.4xInto the Wild
2007
#557.3xWhiplash
2014
#567.1xNightcrawler
2014
#577.0xFear and Loathing in Las Vegas
1998
#586.9xFull Metal Jacket
1987
#596.9xBig Fish
2004
#606.9xScarface
1983
#616.9xThe Big Lebowski
1998
#626.8xBlack Swan
2010
#636.6xNo Country for Old Men
2007
#646.4xBlade Runner
1982
#656.3xThe Machinist
2004
#666.3xLéon: The Professional
1994
#676.1xSnatch
2001
#686.1xRequiem for a Dream
2000
#696.1xGone Girl
2014El laberinto del fauno
2006
#715.8xLittle Miss Sunshine
2006
#725.7xEternal Sunshine of the Spotless Mind
2004
#735.6xThe Shining
1980
#745.5xGroundhog Day
1993
#755.5xReservoir Dogs
1992
#765.2xAmerican Psycho
2000
#775.1xJuno
2007
#785.0xAmerican History X
1998
#794.8xEx Machina
2015
#804.8xSchindler's List
1994
#814.7xThe Truman Show
1998
#824.7xThe Godfather
1972Goodfellas
1990
#844.6x(500) Days of Summer
2009
#854.4xThe Wolf of Wall Street
2013
#864.4xDonnie Darko
2001
#874.4xSpirited Away
2001
#884.3xInglourious Basterds
2009
#894.1xPulp Fiction
1994
#904.0xThe Departed
2006
#913.9xDjango Unchained
2012
#923.9xKill Bill: Vol. 1
2003
#933.9xGood Will Hunting
1998
#943.9xScott Pilgrim vs. the World
2010
#953.8xShutter Island
2010
#963.6xEdward Scissorhands
1990
#973.5xFight Club
1999
#983.4xThe Silence of the Lambs
1991
#993.4xThe Prestige
2006
#1003.4xV for Vendetta
2006
#1013.3xSe7en
1995
#1023.3xCatch Me If You Can
2003
#1033.0xForrest Gump
1994
#1042.9xThe Shawshank Redemption
1994
#1052.7xInterstellar
2014
#1062.6xThe Matrix
1999
#1072.2xInception
2010
#1082.1xThe Dark Knight
2008How 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 Great Beauty consistently tend to also love certain other things. The "strength" score shows how much more likely fans of The Great Beauty 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.