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Justin Basilico

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Recent Trends in Personalization at Netflix
Recap: Designing a more Efficient Estimator for Off-policy Evaluation in Bandits with Large Action Spaces
Recent Trends in Personalization: A Netflix Perspective
Artwork Personalization at Netflix
Deep Learning for Recommender Systems
Making Netflix Machine Learning Algorithms Reliable
Déjà Vu: The Importance of Time and Causality in Recommender Systems
Past, Present & Future of Recommender Systems: An Industry Perspective
Is that a Time Machine? Some Design Patterns for Real World Machine Learning Systems
Recommendations for Building Machine Learning Software
Recommendations for Building Machine Learning Software
Lessons Learned from Building Machine Learning Software at Netflix
Personalized Page Generation for Browsing Recommendations
Learning to Personalize
Learning a Personalized Homepage