Building a Recommender System from Scratch at 20th Century Fox with JJ Espinoza - TWiML Talk #220

episode

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) not yet transcribed

▲ 0

Transcript

This episode hasn't been transcribed yet Upvotes decide what gets transcribed next — 0 so far. Sign in to upvote

Related

recent transcribed audio

Bringing Kashmir’s lakes back to life 25 min · 23 Sep 2026 · The Documentary Podcast

Soup 56 min · 23 Sep 2026 · Three Bean Salad

AFL Record Editor Ash Browne | Grand Final edition on sale now! (23.09.26) 2 min · 23 Sep 2026 · Whateley

NPR News: 09-22-2026 8PM EDT 4 min · 23 Sep 2026 · NPR News Now

Send Me To Sleep | Aristotle 44 min · 23 Sep 2026 · Send Me To Sleep

Finding the balance between offence & defence | The Art of Coaching with Ken Hinkley! (23.09.26) 5 min · 23 Sep 2026 · Whateley

Report any issue

Source

Recorded14 Jan 2019

Publisherfeeds.megaphone.fm ↗

Handlerec:12496318

Show notes

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.

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.

Sign in