If You Like Killers(2010)
Based on real preference data from thousands of voters, here's what fans of Killers also love.
109 connections found
#1127xJust Friends
2005
#2105xGhosts of Girlfriends Past
2009
#396xFool's Gold
2008
#474xThis Means War
2012
#574xClick
2006
#666xThe Bounty Hunter
2010
#762xDate Night
2010
#862xGet Smart
2008
#961xWhat Happens in Vegas
2008
#1059xKnight and Day
2010
#1158xMonster-in-Law
2005
#1255xFailure to Launch
2006
#1354xJust Like Heaven
2005
#1452xThe Wedding Date
2005
#1552xJust My Luck
2006Life as We Know It
2010
#1750xHitch
2005
#1850xNo Strings Attached
2011
#1949xJust Go with It
2011
#2049xMaid in Manhattan
2002
#2149xTwo Weeks Notice
2002
#2248xValentine's Day
2010
#2346xThe Ugly Truth
2009
#2446xMonte Carlo
2011
#2545xMade of Honor
2008
#2645xThe Other Woman
2014
#2743xBad Teacher
2011
#2841xDefinitely, Maybe
2008
#2940xWild Child
2008
#3040xBride Wars
2009
#3139xLetters to Juliet
2010
#3238xWhat a Girl Wants
2003
#3338xThe Proposal
2009
#3436xConfessions of a Shopaholic
2009
#3535xSweet Home Alabama
2002
#3635x50 First Dates
2004
#3735xFriends with Benefits
2011
#3834xThe Holiday
2006
#3934x17 Again
2009
#4033xHow to Lose a Guy in 10 Days
2003
#4132x27 Dresses
2008
#4232xMiss Congeniality
2000
#4332xA Cinderella Story
2004
#4432xMr. & Mrs. Smith
2005
#4532xThe Princess Diaries 2: Royal Engagement
2004
#4631xBridesmaids
2011
#4731xJohn Tucker Must Die
2006
#4830xThe Parent Trap
1998
#4929xElla Enchanted
2004
#5029xFreaky Friday
2003
#5129x13 Going on 30
2004
#5229xShe's the Man
2006
#5329xPretty Woman
1990
#5428xEnchanted
2007
#5528xHorrible Bosses
2011
#5628xWe're the Millers
2013
#5727xThe Princess Diaries
2001
#5823xNight at the Museum
2006
#5923xLegally Blonde
2001
#6023xLove Actually
2003
#6121xThe Devil Wears Prada
2006
#6221x21 Jump Street
2012
#6321xJumanji: Welcome to the Jungle
2017
#6421xThe Day After Tomorrow
2004
#6520xPitch Perfect
2012
#6618xNow You See Me
2013
#6718xHancock
2008
#6818xClueless
1995
#6916x10 Things I Hate About You
1999
#7016xEasy A
2010
#7116xThe Notebook
2004
#7216xTransformers
2007
#7315xCharlie and the Chocolate Factory
2005
#7415xHome Alone
1990
#7514xThe Fault in Our Stars
2014
#7614xMean Girls
2004
#7712xOcean's Eleven
2001
#7812xDespicable Me
2010
#7912xSpider-Man
2002
#8011xKingsman: The Secret Service
2015
#8110xIron Man 2
2010
#8210xI Am Legend
2007
#839.9xPirates of the Caribbean: Dead Man's Chest
2006
#849.8xThe Hangover
2009
#859.6xFinding Nemo
2003
#869.5xRatatouille
2007
#879.4xToy Story
1995
#889.2xThe Incredibles
2004
#899.1xMen in Black
1997
#909.0xThor
2011
#918.7xCaptain America: The First Avenger
2011
#928.6xHarry Potter and the Chamber of Secrets
2002
#938.6xCaptain America: The Winter Soldier
2014
#948.5xMonsters, Inc.
2001
#958.4xUp
2009
#968.3xShrek
2001
#978.2xWALL·E
2008
#988.1xThe Avengers
2012
#997.8xThe Hunger Games
2012
#1007.7xHarry Potter and the Prisoner of Azkaban
2004
#1017.1xDeadpool
2016
#1027.0xIron Man
2008
#1036.5xAvatar
2009
#1046.0xPirates of the Caribbean: The Curse of the Black Pearl
2003
#1055.6xGuardians of the Galaxy
2014
#1065.0xForrest Gump
1994Harry Potter and the Sorcerer's Stone
2001
#1083.7xThe Matrix
1999
#1093.1xInception
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 Killers consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Killers 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.