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How Netflix Uses AI For Better Content Recommendation

Netflix’s recommendation system works on algorithm-based, but the major factor that increases the relevancy of these recommendations is because of machine learning and AI.
How Netflix Uses AI For Better Content Recommendation

Netflix know which genre best fits the tastes of the user. All thanks to state of art recommendation systems.

A recommendation engine is a data filtering tool that uses data and algorithms to filter a catalog predicting relevant items and products to the user. Recommendation engines combine both content-based and collaborative-based approaches.

Now the content-based approach relies on the intrinsic items the user has earlier showed interest in, thus suggesting a similar pattern of these properties. On the other hand, a collaborative-based approach analyzes all the users of the service and recommends a new user based on the relevant items of the other users having a similar taste.

Source- https://cdn.spotle.ai/7262/large/60180231.jpg

Netflix’s recommended engine worth over $1 Billion per year comes with a personalized grid of suggestions that is catered only to the viewers’ taste.

Read More in detail about how AI is helping and transforming Netflix....

How Netflix Uses AI For Better Content Recommendation
A recommendation engine is a data filtering tool that uses data and algorithms to filter a catalog predicting relevant items and products to the user. Recommendation engines combine both…
Source- https://albertchristopherr.medium.com/how-netflix-uses-ai-for-better-content-recommendation-e1423784ef4

#Netflix #AI #ML #RecommendationSystem #Probyto #ProbytoAI

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