
If You Like Terms of Endearment(1983)
Based on real preference data from thousands of voters, here's what fans of Terms of Endearment also love.
56 connections found
#1160xKramer vs. Kramer
1979
#290xSomething's Gotta Give
2003
#362xJerry Maguire
1996
#460xSleepless in Seattle
1993
#560xErin Brockovich
2000
#657xAs Good as It Gets
1997
#752xA Few Good Men
1992
#852xWhen Harry Met Sally...
1989
#945xBig
1988
#1044xThe Graduate
1967
#1135xNotting Hill
1999
#1234xThe Wizard of Oz
1939
#1333xBridget Jones's Diary
2001
#1432xWhat's Eating Gilbert Grape
1994
#1530xPretty Woman
1990
#1627xMrs. Doubtfire
1993
#1727xThe Holiday
2006
#1825xJaws
1975
#1925xStand by Me
1986
#2025xWilly Wonka & the Chocolate Factory
1971
#2122xRain Man
1988
#2216xGroundhog Day
1993
#2314xCast Away
2000
#2413xLittle Miss Sunshine
2006
#2513xHome Alone
1990
#2612xThe Notebook
2004
#2712xThe Sixth Sense
1999
#2812xFargo
1996
#2912xDead Poets Society
1989
#3011x10 Things I Hate About You
1999
#3110xToy Story
1995
#3210xGood Will Hunting
1998
#3310xMean Girls
2004
#349.8xThe Breakfast Club
1985
#359.7xJuno
2007
#369.2xEdward Scissorhands
1990Goodfellas
1990
#388.9xThe Departed
2006
#398.4xThe Godfather
1972
#408.1xThe Green Mile
1999
#418.0xMonsters, Inc.
2001
#427.9xForrest Gump
1994
#437.9xThe Silence of the Lambs
1991
#447.8xThe Shining
1980
#457.6xNo Country for Old Men
2007
#467.6xJurassic Park
1993
#477.3xUp
2009
#486.7xThe Truman Show
1998
#496.4xBack to the Future
1985
#506.0xThe Shawshank Redemption
1994
#515.6xCatch Me If You Can
2003
#525.1xEternal Sunshine of the Spotless Mind
2004
#534.5xThe Dark Knight
2008
#544.4xThe Matrix
1999
#553.7xPulp Fiction
1994
#563.4xFight 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 Terms of Endearment consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Terms of Endearment 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.