
If You Like To Rome with Love(2012)
Based on real preference data from thousands of voters, here's what fans of To Rome with Love also love.
38 connections found
#165xMatch Point
2006
#263xBlue Jasmine
2013
#362xVicky Cristina Barcelona
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#448xMidnight in Paris
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#530xAnnie Hall
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#628xBefore Sunset
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#724xBefore Sunrise
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#815xLost in Translation
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#913xMoonrise Kingdom
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#1011xHer
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#1111xThe Grand Budapest Hotel
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#129.6xAmélie
2001
#139.4xLittle Miss Sunshine
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#149.4xDead Poets Society
1989
#159.3xThe Perks of Being a Wallflower
2012
#169.0x(500) Days of Summer
2009
#178.9xInto the Wild
2007
#188.7xJuno
2007
#198.2xBlack Swan
2010
#207.8xWhiplash
2014
#217.5xThe Imitation Game
2014
#227.2xTrainspotting
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#236.6xGone Girl
2014
#246.1xRequiem for a Dream
2000
#255.9xGood Will Hunting
1998
#265.8xEternal Sunshine of the Spotless Mind
2004
#275.7xCatch Me If You Can
2003
#285.2xThe Wolf of Wall Street
2013
#295.1xThe Truman Show
1998
#305.1xForrest Gump
1994
#315.0xV for Vendetta
2006
#324.7xInglourious Basterds
2009
#334.4xThe Silence of the Lambs
1991
#344.3xPulp Fiction
1994
#354.3xShutter Island
2010
#364.3xThe Prestige
2006
#373.9xFight Club
1999
#383.1xInception
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 To Rome with Love consistently tend to also love certain other things. The "strength" score shows how much more likely fans of To Rome with Love 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.