If You Like Smiley Face(2008)
Based on real preference data from thousands of voters, here's what fans of Smiley Face also love.
38 connections found
#153xHalf Baked
1998
#236xKids
1995
#325xGhost World
2001
#424xHarold & Kumar Go to White Castle
2004
#522xHeathers
1989
#619xPineapple Express
2008
#718xNatural Born Killers
1994
#817xNapoleon Dynamite
2004
#916xFear and Loathing in Las Vegas
1998
#1013xOffice Space
1999
#1113xSuperbad
2007
#1212xClueless
1995
#1312xBeetlejuice
1988
#1412xThe Royal Tenenbaums
2002
#1511xBig Fish
2004
#1611xBeing John Malkovich
1999
#179.4xLittle Miss Sunshine
2006
#188.9xAmerican Psycho
2000
#198.8xThe Nightmare Before Christmas
1993
#208.7xTrainspotting
1996
#218.7xThe Shining
1980
#228.4xEdward Scissorhands
1990
#238.4xThe Breakfast Club
1985
#248.3xRequiem for a Dream
2000
#258.2xJuno
2007
#268.2xThe Big Lebowski
1998
#278.0xShaun of the Dead
2004
#287.2xDonnie Darko
2001
#297.1xScott Pilgrim vs. the World
2010
#306.5xAmerican History X
1998
#315.4xReservoir Dogs
1992
#325.2xEternal Sunshine of the Spotless Mind
2004
#335.2xThe Truman Show
1998
#345.1xThe Silence of the Lambs
1991
#354.6xPulp Fiction
1994
#364.5xInglourious Basterds
2009
#374.3xFight Club
1999
#383.4xThe 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 Smiley Face consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Smiley Face 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.