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How does AI guess what you want to watch?

How does AI guess what you want to watch?

The success of streaming platforms such as NetflixAmazon Prime Video, Disney+ and many more, there’s no denying that. These services have revolutionized the way we consume audiovisual content, providing an extensive library of on-demand films and series.

However, what really drives the success of these platforms is not just the availability of content, but the way they use artificial intelligence (AI) to recommend movies and series to their subscribers.


To understand how streaming platforms get so much fidelity Recommendations As for content, it is necessary to understand the role of databases that store information about subscribers.

These banks contain a wealth of data including viewing history, favorite genre selections, ratings, previous searches, and even time spent on each title. All this data is fed to cutting-edge AI algorithms, which use machine learning to understand each user’s individual tastes.

The importance of these databases cannot be underestimated. It allows live streaming platforms’ AI to create detailed profiles for each subscription, identifying patterns of behavior and preferences. This allows recommendations to be highly personalized and relevant to each user.

When you see a list of recommended movies on your home screen, it’s the result of this data analysis work.

Image: Netflix/Reproduction

This personalization is key to the success of communication platforms. flow. It creates a special connection between the user and the service, making the content consumption experience more enjoyable and satisfying.

Subscribers feel that the platform truly understands their interests and needs, as well as keeping them engaged and loyal to the service.

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Not only in movies and series

However, this approach is not limited to movie and series recommendations only. It extends to all aspects of the user’s online experience.

From displaying relevant ads to suggesting products in online stores, the ability to understand users’ interests and respond to them based on existing data is essential.

It is important to note that the collection and use of personal data also raises privacy and security concerns. Companies must be transparent about their use of this data and ensure they comply with privacy regulations such as the General Data Protection Regulation (GDPR) in the European Union.

In short, the use of databases and artificial intelligence for personalized recommendations is one of the pillars of the success of live streaming platforms. These techniques don’t just enhance expertise user experience, but also keeping subscribers engaged and satisfied.