
If You Like Frankenstein(2015)
Based on real preference data from thousands of voters, here's what fans of Frankenstein also love.
62 connections found
bride of frankenstein
dracula
#369xNight of the Living Dead
1968
#458xHalloween
2018
#542xThe Exorcist
1973
#639xThe Evil Dead
1983
#737xCarrie
1976
#833xThe NeverEnding Story
1984
#931xGremlins
1984
#1031xThe Fly
1986
#1126xSleepy Hollow
1999
#1225xJaws
1975
#1325xThe Rocky Horror Picture Show
1975
#1424xThe Thing
1982
#1523xThe Addams Family
1991
#1623xPsycho
1960
#1719xTaxi Driver
1981
#1817xBeetlejuice
1988
#1916xAliens
1986
#2014xFear and Loathing in Las Vegas
1998
#2114xGhostbusters
1984
#2214xCorpse Bride
2005
#2314xThe Nightmare Before Christmas
1993
#2413xCoraline
2009
#2513xAlien
1979El laberinto del fauno
2006Terminator
1984
#2812xIndiana Jones and the Last Crusade
1989
#2912xEdward Scissorhands
1990
#3012xBack to the Future Part II
1989
#3112xIndiana Jones and the Temple of Doom
1984
#3211xX-Men
2000
#3311xThe Shining
1980
#3411xSin City
2005
#3511xShaun of the Dead
2004
#3610xFargo
1996
#3710xThe Lord of the Rings
1978
#389.3xMen in Black
1997
#398.7xTrainspotting
1996
#408.7xZombieland
2009
#418.5xAmerican Psycho
2000
#428.5xThe Sixth Sense
1999
#438.2xJurassic Park
1993
#448.0xThe Big Lebowski
1998
#457.6xDonnie Darko
2001
#467.5xReservoir Dogs
1992
#477.3xBack to the Future
1985
#487.1xThe Silence of the Lambs
1991
#497.0xThe Lord of the Rings: The Two Towers
2002
#506.9xAmerican History X
1998
#516.8xThe Lord of the Rings: The Return of the King
2003
#526.6xThe Lord of the Rings: The Fellowship of the Ring
2001
#536.4xBatman Begins
2005
#546.0xEternal Sunshine of the Spotless Mind
2004
#555.9xPirates of the Caribbean: The Curse of the Black Pearl
2003
#565.4xThe Truman Show
1998
#575.1xPulp Fiction
1994
#584.8xThe Shawshank Redemption
1994
#594.7xThe Dark Knight
2008
#604.6xForrest Gump
1994
#614.6xThe Matrix
1999
#624.5xFight 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 Frankenstein consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Frankenstein 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.