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