Which personalization technique did Netflix famously use that offered a $1 million prize to improve its recommendation algorithm accuracy by 10%?

Streaming platforms have revolutionized how we discover and consume film and television content. At the heart of these platforms are sophisticated recommendation algorithms that analyze viewing habits and preferences to suggest what to watch next. Test your knowledge about how these personalization systems work in the entertainment industry and how they've transformed the landscape of content consumption and production decisions.

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The Netflix Prize collaborative filtering competition
The Cinematch neural network challenge
The BingeWatch behavioral prediction contest
The StreamSense viewer anticipation project