If You Like Zhuo mi cang(2016)
Based on real preference data from thousands of voters, here's what fans of Zhuo mi cang also love. Use these connections to discover your next favorite.
117 connections found
#1251xThe Forgotten
2015Ren hai gu hong
1960
#3130xWhite Noise
2005
#4110xWhat Lies Beneath
2000
#5108xWhen a Stranger Calls
2006
#690xThe Uninvited
2009
#787xGothika
2003
#886xThe Skeleton Key
2005
#980xThe Haunting in Connecticut
2009
#1079xMirrors
2008
#1172xDead Silence
2007
#1272xThe Amityville Horror
2005
#1370xThe Last House on the Left
2009
#1466xThe Village
2015
#1562xThe Exorcism of Emily Rose
2005
#1662xI Know What You Did Last Summer
1997
#1758xThe Final Destination
2009
#1848xPanic Room
2002
#1947xSecret Window
2004
#2045xThe Hills Have Eyes
2006
#2145xJeepers Creepers
2001
#2243xA Nightmare on Elm Street
2010
#2341xThe Others
2001
#2440xSilent Hill
2006
#2540x1408
2007
#2638xOrphan
2009
#2737xDisturbia
2007
#2835xThe Number 23
2007
#2933xThe Ring
2002
#3033xFinal Destination
2000
#3131xSigns
2002
#3229xInsidious
2011
#3325xThe Conjuring
2013
#3424xThe Mist
2007
#3523xInterview with the Vampire
1994Asre Yakhbandan
2015
#3722xWar of the Worlds
2005
#3821xSleepy Hollow
1999
#3921xHocus Pocus
1993
#4021xThe Craft
1996
#4120xSaw
2004
#4218xMiss Congeniality
2000
#4318xBruce Almighty
2003
#4418xIt
2017
#4518xThe Addams Family
1991
#4617xSweeney Todd: The Demon Barber of Fleet Street
2007
#4716xThe Day After Tomorrow
2004
#4816xA Bug's Life
1998
#4916xCharlie and the Chocolate Factory
2005
#5013xAlice in Wonderland
2010
#5113xThe Sixth Sense
1999
#5212xAladdin
1992
#5312xThe Butterfly Effect
2004
#5412xCorpse Bride
2005
#5510xCast Away
2000
#5610xEdward Scissorhands
1990
#5710xI, Robot
2004
#589.7xDespicable Me
2010
#599.5xCoraline
2009
#609.4xMean Girls
2004
#619.2xPirates of the Caribbean: At World's End
2007
#629.2xI Am Legend
2007
#639.1xBeetlejuice
1988
#649.1xHarry Potter and the Half-Blood Prince
2009
#659.1xHarry Potter and the Chamber of Secrets
2002
#668.8xThe Nightmare Before Christmas
1993
#678.8xThe Lion King
2019
#688.8xFinding Nemo
2003
#698.7xHarry Potter and the Order of the Phoenix
2007
#708.6xMen in Black
1997
#718.5xEasy A
2010
#728.5xToy Story
1995
#738.4xPirates of the Caribbean: Dead Man's Chest
2006
#748.4xHarry Potter and the Goblet of Fire
2005
#758.2xZombieland
2009
#768.1xHarry Potter and the Prisoner of Azkaban
2004
#778.0xThe Hangover
2009
#788.0xThe Fifth Element
1997
#798.0x10 Things I Hate About You
1999
#807.8xJuno
2007
#817.7xMonsters, Inc.
2001
#827.7xBlack Swan
2010
#837.5xThe Shining
1980
#847.4xThe Lord of the Rings
1978
#857.3xThe Incredibles
2004
#867.3xLittle Miss Sunshine
2006
#877.1xLimitless
2011
#887.1xShrek
2001
#896.9xThe Silence of the Lambs
1991
#906.8xUp
2009
#916.5xThe Breakfast Club
1985
#926.4xShutter Island
2010
#936.2xJurassic Park
1993
#946.1xThe Hunger Games
2012
#956.1xAmerican Psycho
2000
#965.9xPirates of the Caribbean: The Curse of the Black Pearl
2003
#975.4xIron Man
2008
#985.2xForrest Gump
1994
#995.2xDonnie Darko
2001
#1005.2xThe Lord of the Rings: The Fellowship of the Ring
2001
#1015.1xAmerican History X
1998
#1025.1xThe Lord of the Rings: The Two Towers
2002
#1035.1xBatman Begins
2005
#1044.9xBack to the Future
1985
#1054.9xCatch Me If You Can
2003
#1064.8xThe Lord of the Rings: The Return of the King
2003
#1074.8xThe Truman Show
1998
#1084.7xThe Shawshank Redemption
1994
#1094.7xThe Prestige
2006
#1104.3xThe Dark Knight
2008
#1114.3xV for Vendetta
2006
#1124.3xSe7en
1995
#1134.1xThe Matrix
1999
#1144.0xFight Club
1999
#1153.7xInception
2010Harry Potter and the Sorcerer's Stone
2001
#1173.1xPulp Fiction
1994How 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 Zhuo mi cang consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Zhuo mi cang 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.