How Does Netflix Algorithm Work

Netflix’s machine learning based recommendations learn from their own users. Every time a viewer spends time watching a movie or a show, it collects data that informs the machine learning algorithm behind the scenes and refreshes it. The more a viewer watches the more up-to-date and accurate the algorithm is.

What algorithm does Netflix use?

The Netflix Recommendation Engine Their most successful algorithm, Netflix Recommendation Engine (NRE), is made up of algorithms which filter content based on each individual user profile. The engine filters over 3,000 titles at a time using 1,300 recommendation clusters based on user preferences.

How does Netflix know what I like?

In Netflix’s case, its recommendation algorithm looks at how you’ve engaged with the service and scours the Netflix servers to pick out new movies and TV shows it believes you’ll like.