Expo Workshop
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Netflix is the world’s leading streaming entertainment service with over 195 million paid memberships in over 190 countries enjoying TV series, documentaries and feature films across a wide variety of genres and languages.

In this workshop we will offer a deep-dive into some recent Machine Learning research at Netflix spanning many different areas, including:
- Personalization: How can we help our members find the content they’d enjoy the most?
- Content: How can we help shape our catalog of movies & TV shows? How can we help best showcase this catalog?
- Systems: How can Machine Learning help optimize our Netflix infrastructure & systems?

We’ll conclude with a live 45 minutes Q&A session including all the speakers.

Chat is not available.

 

Schedule
Sun 5:00 a.m. - 5:10 a.m.
Introduction, Machine Learning at Netflix (Talk)   
Yves Raimond
Sun 5:10 a.m. - 5:45 a.m.
Recent Trends in Personalization at Netflix (Talk)
Justin Basilico
Sun 5:45 a.m. - 6:05 a.m.
Slate Bandit Learning & Evaluation (Talk)   
Maria Dimakopoulou
Sun 6:05 a.m. - 6:35 a.m.
(Linear) Autoencoders for Recommender Systems (Talk)   
Harald Steck
Sun 6:35 a.m. - 7:00 a.m.
Similarity at Netflix (Talk)   
Selen Uguroglu
Sun 7:00 a.m. - 7:30 a.m.
Natural Language Processing at Netflix (Talk)   
Avneesh Saluja
Sun 7:30 a.m. - 8:00 a.m.
Computer Vision at Netflix (Talk)   
Dong Liu, Cristina Segalin
Sun 8:00 a.m. - 8:30 a.m.
Machine Learning for Systems (Talk)   
Benoit Rostykus
Sun 8:30 a.m. - 9:00 a.m.
Live Q&A (Panel + Q&A)
Yves Raimond, Cristina Segalin, Dong Liu, Selen Uguroglu, Benoit Rostykus, Harald Steck, Avneesh Saluja, Maria Dimakopoulou, Justin Basilico