Bibliographic citations
Domínguez, C., (2020). Machine Learning: Recomendaciones en base a los gustos y preferencias de los estudiantes de la UPC usuarios de Netflix [Trabajo de investigación, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/655135
Domínguez, C., Machine Learning: Recomendaciones en base a los gustos y preferencias de los estudiantes de la UPC usuarios de Netflix [Trabajo de investigación]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2020. http://hdl.handle.net/10757/655135
@misc{sunedu/3093135,
title = "Machine Learning: Recomendaciones en base a los gustos y preferencias de los estudiantes de la UPC usuarios de Netflix",
author = "Domínguez Samamés, Christian Andrés",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2020"
}
In recent years, streaming platforms like Netflix have become very popular worldwide. This success is due to many factors; however, the key has been the recommendation system this platform uses. Users not only receive recommendations based on their tastes and preferences, but they also receive a personalized Netflix home screen interface specially prepared for each of them. This system promises to be efficient not only to retain its current users, but also to attract the attention of new potential users. Now, the entertainment industry has decided to make streaming platforms its main allies. Not only have original series been released within the platform, but movies have also been released in spite of cinema’s distribution issues. Although it is true, various studies have been carried out in different countries on the effectiveness of Netflix's recommendation system, in Latin American countries such as Peru, it has not been proven whether this mechanism is as effective as it is claimed. For this reason, it is necessary to carry out research on this topic in order to understand the most effective way to connect with the Latin American public and embrace this important market.
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