
If You Like Joe(2014)
Based on real preference data from thousands of voters, here's what fans of Joe also love.
45 connections found
#1115xBlue Ruin
2014
#2108xMud
2013
#327xPrisoners
2013
#419xTaxi Driver
1981
#519xNightcrawler
2014
#617xThere Will Be Blood
2008
#716xLooper
2012
#816xFear and Loathing in Las Vegas
1998
#914xFargo
1996
#1013xFull Metal Jacket
1987
#1112xNo Country for Old Men
2007
#1212xMad Max: Fury Road
2015
#1312xSin City
2005
#1411xDistrict 9
2009
#1511xMinority Report
2002
#1611xThe Big Lebowski
1998Goodfellas
1990
#1811xGone Girl
2014
#1910xThe Sixth Sense
1999
#2010xAmerican Psycho
2000
#2110xSnatch
2001
#229.8xZombieland
2009
#239.7xTrainspotting
1996
#249.4xAmerican History X
1998
#259.0xThe Departed
2006
#268.7xReservoir Dogs
1992
#278.5xThe Shining
1980
#287.7xRequiem for a Dream
2000
#297.7xDjango Unchained
2012
#307.5xThe Martian
2015
#317.3xDonnie Darko
2001
#327.3xThe Wolf of Wall Street
2013
#337.0xInglourious Basterds
2009
#346.9xThe Silence of the Lambs
1991
#356.8xThe Shawshank Redemption
1994
#366.1xPulp Fiction
1994
#375.9xInterstellar
2014
#385.8xShutter Island
2010
#395.7xEternal Sunshine of the Spotless Mind
2004
#405.2xThe Truman Show
1998
#414.8xForrest Gump
1994
#424.8xThe Dark Knight
2008
#434.6xFight Club
1999
#444.5xThe Matrix
1999
#453.6xInception
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 Joe consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Joe 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.