
If You Like Girls Just Want to Have Fun(1985)
Based on real preference data from thousands of voters, here's what fans of Girls Just Want to Have Fun also love.
56 connections found
#1186xTeen Witch
1989
#2145xCan't Buy Me Love
1987
#3125xDon't Tell Mom the Babysitter's Dead
1991
#491xNow and Then
1995
#577xRomy and Michele's High School Reunion
1997
#672xFootloose
2011
#768xMy Girl
1991
#867xUptown Girls
2003
#967xPretty in Pink
1986
#1064xCoyote Ugly
2000
#1160xSixteen Candles
1984
#1257xPractical Magic
1998
#1355xNever Been Kissed
1999Bring It on
2000
#1547xShe's All That
1999
#1645xThe Wedding Planner
2001
#1744xSweet Home Alabama
2002
#1844xCruel Intentions
1999
#1944xThe Sisterhood of the Traveling Pants
2005
#2043xDirty Dancing
1987
#2140xSydney White
2007
#2239xMamma Mia!
2008
#2337xThe Craft
1996
#2437xGrease
1978
#2535xWhat a Girl Wants
2003
#2634xHocus Pocus
1993
#2734xMiss Congeniality
2000
#2833xJohn Tucker Must Die
2006
#2933xA Cinderella Story
2004
#3032x13 Going on 30
2004
#3132xPretty Woman
1990
#3232xAddams Family Values
1993
#3331xHeathers
1989
#3431xThe Parent Trap
1998
#3530xFreaky Friday
2003
#3629xClueless
1995
#3728xThe Princess Diaries
2001
#3827xShe's the Man
2006
#3926xHow to Lose a Guy in 10 Days
2003
#4025xLegally Blonde
2001
#4124x27 Dresses
2008
#4222xThe Addams Family
1991
#4321xThe Proposal
2009
#4418x10 Things I Hate About You
1999
#4518xPitch Perfect
2012
#4617xFerris Bueller's Day Off
1986
#4715xThe Breakfast Club
1985
#4815xMean Girls
2004
#4914xBeetlejuice
1988
#5013xThe Notebook
2004
#5112xEasy A
2010
#5211xEdward Scissorhands
1990
#5311xJuno
2007
#549.6xThe Nightmare Before Christmas
1993
#557.5xMonsters, Inc.
2001
#564.4xForrest Gump
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 Girls Just Want to Have Fun consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Girls Just Want to Have Fun 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.