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  1. proslijedio/la je Tweet
    12. pro 2019.

    A few of us are meeting up tomorrow for lunch to discuss recommender systems. RSVP in the Whova app (meetup called “recommendation systems” if you want to join.

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  2. proslijedio/la je Tweet
    11. pro 2019.
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  3. 3. pro 2019.

    We are now accepting applications for summer 2020 internships at Netflix Research. Find out more and apply here:

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  4. 3. pro 2019.

    We are very excited to announce that we have open-sourced Metaflow, our human-friendly Python library for Data Science! We worked together with to ensure that the open-source release is easily usable outside . Learn more at

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  5. 3. pro 2019.

    The experimentation team at Netflix developed an effective data compression strategy to deploy their statistical methods at dramatically greater scale, allowing experimenters to analyze their A/B test results faster and with clearer insights:

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  6. 12. stu 2019.

    Read about how we built a system capable of simulating a mini Netflix eco-system at various points in time to allow our researchers and engineers to quickly evaluate different ideas for improving our homepage:

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  7. 31. lis 2019.

    How can you serve 200Gb/s of TLS encrypted video traffic from a single server? Watch the talk by our Drew Gallatin from :

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  8. 23. lis 2019.

    Announcing the launch of Polynote, a Scala-first polyglot notebook, created by our and . Read about it on our tech blog:

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  9. proslijedio/la je Tweet
    22. lis 2019.

    Here's more details on our BayLearn presentation last week about Gradient Boosted Decision Tree Neural Networks:

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  10. 7. lis 2019.

    Our very own Sudeep Das () on his move from Astrophysicist to Machine Learning researcher

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  11. proslijedio/la je Tweet
    26. ruj 2019.

    Slides from my keynote titled "Contextualization at Netflix" that I gave at the CARS 2.0 workshop at

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  12. proslijedio/la je Tweet
    25. ruj 2019.
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  13. proslijedio/la je Tweet
    17. ruj 2019.

    The proceedings of the REVEAL workshop now available at:

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  14. 19. ruj 2019.

    Also at Maria Dimakopoulou will be presenting her work with Nikos Vlassis, and on "Marginal Posterior Sampling for Slate Bandits" You can read the paper here:

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  15. 19. ruj 2019.

    A new workshop paper on "Recap: Designing a more Efficient Estimator for Off-policy Evaluation in Bandits with Large Action Spaces" by Ajinkya More, , Nikos Vlassis, and at the REVEAL workshop at

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  16. proslijedio/la je Tweet
    18. ruj 2019.

    . from now talking about Variational Low Rank Multinomials for Collaborative Filtering with Side-Information --

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  17. 19. ruj 2019.

    Hey : Come see our 's keynote on "Contextualization at Netflix" in the CARS 2.0 Workshop on Friday at 15:40.

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  18. 17. ruj 2019.

    Netflix is happy to be sponsoring again this year. Drop by our booth during the breaks if you want to chat with people from our team and learn about some of the new challenges we're working on.

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  19. 15. ruj 2019.

    New paper on "Variational low rank multinomials for collaborative filtering with side-information" at by our , Wei Wang, , ,

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  20. 12. ruj 2019.

    Our Netflix Experimentation Platform (XP) team reimagined our analysis framework to enable our scientists to contribute directly to the platform. Here is their blog: The XP team will be present this year at MIT CODE 2019, GHC 2019, WiML 2019. Come say hi.

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