Building a Recommender System from Scratch at 20th Century Fox with JJ Espinoza - TWiML Talk #220
Research#llm📝 Blog|Analyzed: Dec 29, 2025 08:18•
Published: Jan 14, 2019 20:15
•1 min read
•Practical AIAnalysis
This article discusses a podcast episode featuring JJ Espinoza, former Director of Data Science at 20th Century Fox. The core focus is on the development and deployment of a content recommendation system. The conversation delves into the specifics of the system's design, highlighting two key components: one that analyzes movie scripts to suggest potential film projects, and another that processes trailers to personalize user recommendations. The article provides a glimpse into the practical application of data science in the entertainment industry, specifically focusing on how AI is used to inform content creation and distribution strategies.
Key Takeaways
- •The article highlights the practical application of AI in the entertainment industry.
- •The focus is on building a content recommendation system for movie selection and user recommendations.
- •The system utilizes movie scripts and trailers for its recommendations.
Reference / Citation
View Original"In this talk we dig into JJ and his team’s experience building and deploying a content recommendation system from the ground up."