Which recommendation algorithm approach did Netflix abandon in 2009 after awarding $1 million to improve it, shifting instead to a system more focused on user retention?

Streaming platforms have revolutionized how we discover and consume film and television content. Behind these personalized recommendations are sophisticated algorithms analyzing your viewing habits. This poll tests your knowledge about how major streaming services use recommendation systems to keep viewers engaged and increase watch time. Understanding these systems reveals how your viewing choices are subtly guided by data analytics and machine learning.

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The BellKor algorithm, which predicted exact star ratings for films
The ContentSage algorithm, which categorized films by scene content
The ViewerMatch system, which paired users with similar taste profiles
The GenreMapper algorithm, which used director and actor relationships