If You Like The Glass House(2009)
Based on real preference data from thousands of voters, here's what fans of The Glass House also love.
67 connections found
#1173xWhen a Stranger Calls
2006Ren hai gu hong
1960
#3132xThe Strangers
2012
#4132xWhat Lies Beneath
2000
#5116xVacancy
2007
#6110xThe Uninvited
2009
#7109xCabin Fever
2016
#8107xI Know What You Did Last Summer
1997
#996xThe Last House on the Left
2009
#1092xThe Final Destination
2009
#1188xThe Skeleton Key
2005
#1280xHouse of Wax
2005
#1364xJeepers Creepers
2001
#1462xPanic Room
2002
#1559xDrag Me to Hell
2009
#1658xThe Hills Have Eyes
2006
#1755xThe Purge
2013
#1850xOrphan
2009
#1946xFinal Destination
2000
#2045xDisturbia
2007
#2145xSilent Hill
2006
#2244xSinister
2012
#2344xA Nightmare on Elm Street
2010
#2441xThe Ring
2002
#2538xMisery
1990
#2638xScream
1996
#2736xInsidious
2011
#2833xThe Others
2001
#2931xThe Conjuring
2013
#3030xThe Craft
1996
#3127xHocus Pocus
1993
#3222xSaw
2004
#3322xIt
2017
#3418xThe Addams Family
1991
#3515xThe Butterfly Effect
2004
#3612xMean Girls
2004
#3712xBeetlejuice
1988
#3811xEasy A
2010
#3911xThe Sixth Sense
1999
#4011xEdward Scissorhands
1990
#419.5xHarry Potter and the Goblet of Fire
2005
#429.2xJuno
2007
#439.2xBlack Swan
2010
#449.2xHarry Potter and the Chamber of Secrets
2002
#459.1xThe Shining
1980
#469.1xZombieland
2009
#479.1xI Am Legend
2007
#489.0xHarry Potter and the Order of the Phoenix
2007
#498.9xMen in Black
1997
#508.7xThe Breakfast Club
1985
#518.6xAmerican Psycho
2000
#528.5xHarry Potter and the Prisoner of Azkaban
2004
#538.3xJurassic Park
1993
#548.2xThe Hangover
2009
#558.1xMonsters, Inc.
2001
#567.5xThe Hunger Games
2012
#577.4xGone Girl
2014
#587.4xThe Silence of the Lambs
1991
#596.9xDonnie Darko
2001
#606.2xPirates of the Caribbean: The Curse of the Black Pearl
2003
#615.6xShutter Island
2010
#625.2xIron Man
2008
#634.5xThe Truman Show
1998
#644.4xForrest Gump
1994
#654.0xThe Matrix
1999
#663.6xFight Club
1999
#673.4xInception
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 The Glass House consistently tend to also love certain other things. The "strength" score shows how much more likely fans of The Glass House 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.