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.
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....
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