Justin Basilico

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Leading machine learning researchers and engineers to solve hard, important problems. Balancing research, software engineering, management, and vision. Doing end-to-end machine learning: creating new ideas, designing algorithms running experiments, analyzing the data, deploying in real applications, and building next-generation machine learning infrastructure to make it seamless. Currently focused on innovating the Netflix homepage through better recommendations and personalization to increase our members joy. Specialties: Machine Learning, Personalization, Recommender Systems, Deep Learning, Collaborative Filtering, Information Retrieval, Text Analysis, Artificial Intelligence

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

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Justin Basilico

Recent Trends in Personalization: A Netflix Perspective

Recommendation at Netflix Scale

Recent Trends in Personalization at Netflix

Lessons Learned from Building Machine Learning Software at Netflix

Deep Learning for Recommender Systems

Making Netflix Machine Learning Algorithms Reliable

Déjà Vu: The Importance of Time and Causality in Recommender Systems

Artwork Personalization at Netflix

Is that a Time Machine? Some Design Patterns for Real World Machine Learning Systems

Past, Present & Future of Recommender Systems: An Industry Perspective

Recommendations for Building Machine Learning Software

Learning a Personalized Homepage

Personalized Page Generation for Browsing Recommendations

Recap: Designing a more Efficient Estimator for Off-policy Evaluation in Bandits with Large Action Spaces

Recommendations for Building Machine Learning Software

Learning to Personalize