
If You Like Halloween(2007)
Based on real preference data from thousands of voters, here's what fans of Halloween also love.
64 connections found
#1276xHalloween II
1981
#2245xThe Texas Chainsaw Massacre
2003
#3149xHalloween II
2009
#4124xThe Strangers
2008
#5113xScream 2
1997
#6110xHalloween
1978
#7107xA Nightmare on Elm Street
1984
#881xThe Texas Chain Saw Massacre
1974
#976xChild's Play
1988
#1072xI Know What You Did Last Summer
1997
#1171xHouse of Wax
2005
#1270xJeepers Creepers
2001
#1364xFriday the 13th
1980
#1457xThe Hills Have Eyes
2006
#1555xScream
1996
#1649xFinal Destination
2000
#1749xPoltergeist
1982
#1844xHellraiser
1987
#1941xSinister
2012
#2039xThe Cabin in the Woods
2012
#2138xCarrie
1976
#2237xJennifer's Body
2009
#2336xInsidious
2011
#2436xThe Exorcist
1973
#2534xThe Ring
2002
#2630xThe Conjuring
2013
#2727xSaw
2004
#2822xIt
2017
#2915xGet Out
2017
#3012xBeetlejuice
1988
#3112xDie Hard
1988Terminator
1984
#3310xAlien
1979
#3410xZombieland
2009
#359.7xI Am Legend
2007
#369.5xShaun of the Dead
2004
#379.3xTerminator 2: Judgment Day
1991
#389.3xBlack Swan
2010
#399.0xThe Shining
1980
#408.9xEdward Scissorhands
1990
#418.9xJurassic Park
1993
#428.4xThe Sixth Sense
1999
#438.2xMen in Black
1997
#448.1xAmerican Psycho
2000
#457.9xKill Bill: Vol. 1
2003
#467.8xDeadpool
2016
#477.8xThe Hangover
2009
#487.5xThe Silence of the Lambs
1991
#497.2xThe Green Mile
1999
#506.5xBack to the Future
1985
#516.4xThe Dark Knight Rises
2012
#526.2xDjango Unchained
2012
#536.2xSe7en
1995
#545.6xBatman Begins
2005
#555.4xIron Man
2008
#565.3xShutter Island
2010
#575.3xForrest Gump
1994
#585.2xThe Dark Knight
2008
#594.9xThe Matrix
1999
#604.8xThe Truman Show
1998
#614.7xInglourious Basterds
2009
#624.3xPulp Fiction
1994
#633.9xFight Club
1999
#643.0xInception
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 Halloween consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Halloween 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.