
If You Like Barbershop(2002)
Based on real preference data from thousands of voters, here's what fans of Barbershop also love.
61 connections found
#1202xFriday After Next
2002
#2171xNext Friday
2000
#3138xBig Momma's House
2000
#497xBoyz n the Hood
1991
#591xFriday
1995
#683xComing to America
1988
#752xWhite Chicks
2004
#839xThe Waterboy
1998
#938xBig Daddy
1999
#1035xHarold & Kumar Go to White Castle
2004
#1132xHappy Gilmore
1996
#1227xWe're the Millers
2013
#1326xFreaky Friday
2003
#1424xNight at the Museum
2006
#1524xKnocked Up
2007
#1623x21 Jump Street
2012
#1722xStep Brothers
2008
#1819xPineapple Express
2008
#1919xHancock
2008
#2016xMen in Black II
2002
#2115xHome Alone
1990
#2214xSuperbad
2007
#2313xKick-Ass
2010
#2413xMean Girls
2004
#2513xDespicable Me
2010
#2613xBeetlejuice
1988
#2712xSpider-Man
2002
#2812xI, Robot
2004
#2912xBack to the Future Part II
1989
#3011xThe Hangover
2009
#3111x10 Things I Hate About You
1999
#3211xI Am Legend
2007
#3311xMen in Black
1997
#3411xThe Incredibles
2004
#3511xShrek
2001
#3611xEasy A
2010
#3711xIron Man 2
2010
#3811xHarry Potter and the Goblet of Fire
2005
#3910xHarry Potter and the Chamber of Secrets
2002
#4010xFinding Nemo
2003
#4110xToy Story
1995
#4210xHarry Potter and the Half-Blood Prince
2009
#4310xHarry Potter and the Prisoner of Azkaban
2004
#4410xHarry Potter and the Order of the Phoenix
2007
#459.7xJuno
2007
#469.4xThe Breakfast Club
1985
#479.4xMonsters, Inc.
2001
#489.0xEdward Scissorhands
1990
#497.5xUp
2009
#507.3xAvatar
2009
#517.0xBack to the Future
1985
#526.9xThe Hunger Games
2012
#536.9xDeadpool
2016
#546.7xIron Man
2008
#555.6xGuardians of the Galaxy
2014
#565.1xThe Dark Knight
2008
#574.9xForrest Gump
1994
#584.6xThe Shawshank Redemption
1994
#594.3xThe Matrix
1999
#603.7xInception
2010
#613.4xFight 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 Barbershop consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Barbershop 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.