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Justin Basilico

Justin Basilico

368 Followers
16 SlideShares 0 Clipboards 368 Followers 1 Following
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Contact Details
Tags
personalization netflix machine learning recommender systems recommendations large scale collaborative filtering contextual bandits software engineering distributed systems page generation metrics reinforcement learning deep learning online learning artwork personalization causality user experience experience personalization fairness ranking off policy evaluation multi-task learning multi armed bandits failure injection reliability time future global recommendations spark design patterns
See more
Presentations (16)
See all
Recommendation at Netflix Scale
9 years ago • 21172 Views
Learning a Personalized Homepage
8 years ago • 6365 Views
Learning to Personalize
8 years ago • 2246 Views
Personalized Page Generation for Browsing Recommendations
8 years ago • 5248 Views
Lessons Learned from Building Machine Learning Software at Netflix
8 years ago • 14352 Views
Recommendations for Building Machine Learning Software
7 years ago • 2918 Views
Recommendations for Building Machine Learning Software
6 years ago • 6148 Views
Is that a Time Machine? Some Design Patterns for Real World Machine Learning Systems
6 years ago • 8735 Views
Past, Present & Future of Recommender Systems: An Industry Perspective
6 years ago • 64808 Views
Déjà Vu: The Importance of Time and Causality in Recommender Systems
5 years ago • 11639 Views
Making Netflix Machine Learning Algorithms Reliable
5 years ago • 11495 Views
Deep Learning for Recommender Systems
4 years ago • 20171 Views
Artwork Personalization at Netflix
4 years ago • 27601 Views
Recent Trends in Personalization: A Netflix Perspective
3 years ago • 29426 Views
Recap: Designing a more Efficient Estimator for Off-policy Evaluation in Bandits with Large Action Spaces
3 years ago • 4014 Views
Recent Trends in Personalization at Netflix
2 years ago • 21899 Views
  • Activity
  • About

Presentations (16)
See all
Recommendation at Netflix Scale
9 years ago • 21172 Views
Learning a Personalized Homepage
8 years ago • 6365 Views
Learning to Personalize
8 years ago • 2246 Views
Personalized Page Generation for Browsing Recommendations
8 years ago • 5248 Views
Lessons Learned from Building Machine Learning Software at Netflix
8 years ago • 14352 Views
Recommendations for Building Machine Learning Software
7 years ago • 2918 Views
Recommendations for Building Machine Learning Software
6 years ago • 6148 Views
Is that a Time Machine? Some Design Patterns for Real World Machine Learning Systems
6 years ago • 8735 Views
Past, Present & Future of Recommender Systems: An Industry Perspective
6 years ago • 64808 Views
Déjà Vu: The Importance of Time and Causality in Recommender Systems
5 years ago • 11639 Views
Making Netflix Machine Learning Algorithms Reliable
5 years ago • 11495 Views
Deep Learning for Recommender Systems
4 years ago • 20171 Views
Artwork Personalization at Netflix
4 years ago • 27601 Views
Recent Trends in Personalization: A Netflix Perspective
3 years ago • 29426 Views
Recap: Designing a more Efficient Estimator for Off-policy Evaluation in Bandits with Large Action Spaces
3 years ago • 4014 Views
Recent Trends in Personalization at Netflix
2 years ago • 21899 Views
Tags
personalization netflix machine learning recommender systems recommendations large scale collaborative filtering contextual bandits software engineering distributed systems page generation metrics reinforcement learning deep learning online learning artwork personalization causality user experience experience personalization fairness ranking off policy evaluation multi-task learning multi armed bandits failure injection reliability time future global recommendations spark design patterns
See more

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