Turns out there are 800 Netflix engineers working behind the scenes at their Silicon Valley HQ. The company estimates that 75 percent of viewer activity is driven by recommendation.
Reddit gives you the best of the internet in one place. The Science Behind the Netflix Algorithms That Decide What You’ll Watch Next . submitted 5 years ago by closer9. 13 comments; There are hundreds of four and five star movies that I discover on my own that the Netflix algorithm just can’t be bothered to suggest. Needs improvement.
Top responsesI’m not impressed with any algorithm that repeatedly suggests movies I’ve already watched on Netflix! There are hundreds of four and five star movies … read more26 votesInteresting, but the article doesn’t really go too deep into the details. I’ve implemented machine learning techniques (specifically CART methods using R) … read more3 votesthe science is flawedunless i want to watch the same thing 5 times3 votesI wish there were more movies like “Tell No One”. That movie is amazing!0 votesAlle anzeigen
It is Netflix’s secret sauce of algorithms, big data, and gut instinct that fuel this unstoppable growth. It’s this secret sauce that allows Netflix to not just consistently recommend content that users will (likely) love, but also to fund the creation of that content, confident that it will be a success.
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Based off an article titled, “The Science Behind the Netflix Algorithms That Decide What You’ll Watch Next,” the algorithm used to decide what to recommend for each user is …
It doesn’t help that as Netflix has ramped up, some of the prestige cable networks have lost steam. FX’s The Americans , and awards stalwart, got five nominations today, but this was its final season.
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We address this question by focusing on the Netflix Prize (2006–2009), a contest offering US$1m to the first individual or team to boost the accuracy of the company’s existing movie recommendation system by …