Which pioneering algorithm competition led to a major breakthrough in Netflix's recommendation system, improving its accuracy by over 10%?

In today's competitive streaming landscape, major platforms rely on sophisticated big data analytics to keep viewers engaged and subscribed. These recommendation algorithms analyze viewing patterns, pause behaviors, completion rates, and even the time of day you watch to suggest content you'll likely enjoy. But how well do you understand the technology powering your next binge-watch suggestion? Test your knowledge about the data science behind entertainment recommendations!

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The Netflix Prize (2006-2009)
Amazon Prime Video Challenge (2010)
Hulu Recommendation Hackathon (2012)
HBO Max Prediction Tournament (2015)