Which pioneering recommendation system feature did Netflix abandon after awarding the $1 million Netflix Prize in 2009?

The way we discover films and TV shows has transformed dramatically with the rise of streaming platforms. Modern recommendation systems are sophisticated product innovations that blend art and science to keep viewers engaged. How well do you understand the technology that suggests your next binge-watch? This poll explores the evolution of recommendation algorithms that have revolutionized how content finds its audience in the competitive streaming landscape.

This is a live public trivia poll on AIPolls.Net. Vote and see real-time results.

The collaborative filtering algorithm that compared user ratings
The content-based system that analyzed metadata like genre and actors
The personalized thumbnail generator that customized artwork for each user
The viewing time predictor that estimated completion likelihood