Building a Recommender System from Scratch at 20th Century Fox with JJ Espinoza - TWiML Talk #220
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - Podcast tekijän mukaan Sam Charrington
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Today we’re joined by JJ Espinoza, former Director of Data Science at 20th Century Fox. In this talk we dig into JJ and his team’s experience building and deploying a content recommendation system from the ground up. In our conversation, we explore the design of a couple of key components of their system, the first of which processes movie scripts to make recommendations about which movies the studio should make, and the second processes trailers to determine which should be recommended to users.
