
If You Like Burning(2018)
Based on real preference data from thousands of voters, here's what fans of Burning also love.
72 connections found
Manbiki kazoku
2018Ah-ga-ssi
2016
#364xThe Killing of a Sacred Deer
2017
#461xThe Favourite
2018
#556xThe Lighthouse
2019
#651xDogtooth
2009
#745xMarriage Story
2019
#840xThe Lobster
2015
#937xOldboy
2003
#1035xParasite
2019
#1131xMidsommar
2019
#1227xHereditary
2018
#1325xLady Bird
2017
#1420xTaxi Driver
1976
#1520xBirdman or (The Unexpected Virtue of Ignorance)
2014
#1616xGet Out
2017
#1715xPrisoners
2013
#1814xNightcrawler
2014
#1913xLost in Translation
2003
#2013xHer
2014
#2113xBlack Swan
2010
#2213xJoker
2019
#2312xThere Will Be Blood
2008
#2412xZodiac
2007
#2511xWhiplash
2014
#2611xMemento
2001
#2711xEx Machina
2015
#2811xBlade Runner
1982
#2910x2001: A Space Odyssey
1968
#3010xArrival
2016
#3110xBeing John Malkovich
1999
#3210xLéon: The Professional
1994
#339.6xFargo
1996
#349.4xNo Country for Old Men
2007
#359.2xThe Shining
1980
#369.1xThe Grand Budapest Hotel
2014
#378.9xGone Girl
2014
#388.4xFull Metal Jacket
1987
#398.4xKill Bill: Vol. 1
2003
#408.2xRequiem for a Dream
2000
#417.9xMad Max: Fury Road
2015
#427.8xLittle Miss Sunshine
2006
#437.4xSpirited Away
2001
#447.2xAmerican Psycho
2000
#457.1xThe Big Lebowski
1998
#467.1xAmélie
2001
#477.0xTrainspotting
1996
#487.0xThe Silence of the Lambs
1991
#496.8xSe7en
1995
#506.7xEternal Sunshine of the Spotless Mind
2004
#516.3xThe Godfather
1972
#526.3xInglourious Basterds
2009
#536.2xThe Wolf of Wall Street
2013
#546.2xReservoir Dogs
1992
#556.0xAmerican History X
1998
#565.9xDonnie Darko
2001
#575.9xDjango Unchained
2012
#585.8xShutter Island
2010
#595.6xThe Departed
2006
#605.5xThe Prestige
2006
#615.5xThe Truman Show
1998
#625.5xGood Will Hunting
1998
#634.7xPulp Fiction
1994
#644.6xInterstellar
2014
#654.5xThe Shawshank Redemption
1994
#664.5xFight Club
1999
#674.4xV for Vendetta
2006
#684.4xCatch Me If You Can
2003
#694.1xThe Dark Knight
2008
#703.9xForrest Gump
1994
#713.5xThe Matrix
1999
#723.2xInception
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 Burning consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Burning 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.