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Netflix's recommendation algorithm was born from a $1M competition

In 2006, Netflix launched an open competition for data science teams to develop approaches to outperform its recommendation algorithm. Three years later, the prize was awarded after a group of competitors merged, developing a solution that beat Netflix's internal algorithm by more than 10%. Today, recommendations are based on what users watch, particularly via bingeing.

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