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.
|
Sun 5:00 a.m. - 5:10 a.m.
|
Introduction, Machine Learning at Netflix
(
Talk
)
SlidesLive Video |
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
)
SlidesLive Video |
Maria Dimakopoulou 🔗 |
|
Sun 6:05 a.m. - 6:35 a.m.
|
(Linear) Autoencoders for Recommender Systems
(
Talk
)
SlidesLive Video |
Harald Steck 🔗 |
|
Sun 6:35 a.m. - 7:00 a.m.
|
Similarity at Netflix
(
Talk
)
SlidesLive Video |
Selen Uguroglu 🔗 |
|
Sun 7:00 a.m. - 7:30 a.m.
|
Natural Language Processing at Netflix
(
Talk
)
SlidesLive Video |
Avneesh Saluja 🔗 |
|
Sun 7:30 a.m. - 8:00 a.m.
|
Computer Vision at Netflix
(
Talk
)
SlidesLive Video |
Dong Liu · Cristina Segalin 🔗 |
|
Sun 8:00 a.m. - 8:30 a.m.
|
Machine Learning for Systems
(
Talk
)
SlidesLive Video |
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 🔗 |