
If You Like Greenberg(2010)
Based on real preference data from thousands of voters, here's what fans of Greenberg also love.
39 connections found
#180xThe Squid and the Whale
2005
#264xFrances Ha
2013
#344xPunch-Drunk Love
2002
#440xHigh Fidelity
2000
#537xRushmore
1999
#631xThe Darjeeling Limited
2007
#730xThe Life Aquatic with Steve Zissou
2004
#829xGarden State
2004
#929xGhost World
2001
#1026xThe Royal Tenenbaums
2002
#1122xLost in Translation
2003
#1221xBurn After Reading
2008
#1319xFantastic Mr. Fox
2009
#1417xMoonrise Kingdom
2012
#1517xBeing John Malkovich
1999
#1616xThere Will Be Blood
2008
#1713xLittle Miss Sunshine
2006
#1813xJuno
2007
#1911xFargo
1996
#2010xHer
2014
#219.8xThe Big Lebowski
1998
#229.5xTrainspotting
1996
#239.0xEternal Sunshine of the Spotless Mind
2004
#248.8xNo Country for Old Men
2007
#258.6xThe Grand Budapest Hotel
2014
#268.4xThe Shining
1980
#277.7xRequiem for a Dream
2000
#287.7xAmerican Psycho
2000
#297.1xDonnie Darko
2001
#306.7xThe Truman Show
1998
#316.6xReservoir Dogs
1992
#326.4xGood Will Hunting
1998
#335.9xInglourious Basterds
2009
#345.4xCatch Me If You Can
2003
#355.4xThe Silence of the Lambs
1991
#364.6xFight Club
1999
#374.3xPulp Fiction
1994
#384.3xForrest Gump
1994
#393.5xInception
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 Greenberg consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Greenberg 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.