How does Netflix use algorithms to guide viewers’ choices?
Behind the interface of choosing movies and series on the Netflix platform, there lie advanced algorithms that arrange and customize the content displayed to each user based on their personal interests and precise preferences.
In the work of these algorithms, the platform relies on analyzing viewing history, the time spent following works, the extent to which they are completed or stopped watching, as well as comparing the user’s behavior with the patterns of other users with similar interests.
The role of these technologies is not only limited to suggesting titles, but also extends to customizing thumbnail images for a single work, where each user is presented with the image that is most likely to attract them and their personal interests.
With each new interaction or selection, the algorithms update their data to understand the user’s interests more deeply, allowing the list of recommendations to be constantly updated to ensure its accuracy.
In this way, Netflix does not make the viewing decision on behalf of the user, but it restricts and directs the works that appear at the top of its interface, which directly affects his choices before starting the search.
