For this, he uses an algorithm that improves and wins over time and we accumulate new content reproductions in our personal account, since all this helps to make this algorithm more accurate and more accurate. And we must keep in mind that it is a system of recommendations which is largely based on the the contents that we have seen previously, especially in the genre of titles for which we have opted in the past.
But not only that, but at the same time we also take into account the Release year of the movies that we have already visualized, or the protagonist actors, among other things. Thus, all this is compared to the data collected belonging to other members registered on the platform and which have points in common with our stored information, so that they can also be used. recommend series consumed by them, for example.
How Netflix sends us recommendations for watching movies and series
All this is achieved thanks to the fact that internally, the platform uses an automatic learning system that becomes more efficient as it collects information about our customs. And we're not just talking about the content and type of videos being played, but also the number of hours spent watching videos on average, or devices on which we use Netflixthat it is the television, the PC, the mobile, the consoleetc.
Everything is improvable, since in many cases the recommendations that the own platform This indicates that they are not as accurate as we would like, but the truth is that other times we are very helpful. metric realized by this system which machine learning that the online service implements.