
If You Like Monsters(2015)
Based on real preference data from thousands of voters, here's what fans of Monsters also love.
37 connections found
#149xSunshine
2015
#231xCloverfield
2008
#326xThe Thing
1982
#421xMoon
2009
#519xAliens
1986
#616xDistrict 9
2009raiders of the lost ark
#815xThe Machinist
2004
#914xAlien
1979
#1012xIndiana Jones and the Last Crusade
1989
#1112xKick-Ass
2010
#1212xMinority Report
2002
#1312xShaun of the Dead
2004
#1412xIndiana Jones and the Temple of Doom
1984
#1511xEx Machina
2015
#1610xTerminator 2: Judgment Day
1991
#1710xNo Country for Old Men
2007
#189.0xEdge of Tomorrow
2014
#197.9xThe Big Lebowski
1998
#207.9xAmerican Psycho
2000
#217.6xThe Shining
1980
#227.3xAmerican History X
1998
#237.3xDonnie Darko
2001
#247.2xThe Departed
2006
#256.8xReservoir Dogs
1992
#266.4xBack to the Future
1985
#275.8xCatch Me If You Can
2003
#285.8xThe Silence of the Lambs
1991
#295.7xThe Matrix
1999
#305.6xThe Truman Show
1998
#315.6xInglourious Basterds
2009
#325.5xEternal Sunshine of the Spotless Mind
2004
#335.3xPulp Fiction
1994
#345.0xThe Dark Knight
2008
#354.7xInterstellar
2014
#364.5xInception
2010
#374.3xFight Club
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 Monsters consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Monsters 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.