Netflix Recommendations: Beyond the 5 Stars

Xavier Amatriain
Research/Engineering Manager at Netflix


6:30 pm Networking, Snacks
7:00 pm Announcements
7:10 pm Presentation and Q&A

Event Details

Netflix is known for pushing the envelope of recommendation technologies. In particular, the Netflix Prize put a focus on using explicit user feedback to predict ratings using data mining and machine learning techniques. Nowadays Netflix has moved into the streaming world and this has spurred numerous changes in the way people use the service. In this talk I will give an overview of the different techniques we currently use to personalize Netflix to the point that more than 75% of the things users select come from some sort of recommendation. I will describe how we deal with the different data sources and machine learning models and how we integrate them into a flexible architecture that can deal with large offline batch jobs as well as respond to real-time signals. Finally, I will talk about our offline-online innovation 0cycle that connects our machine learning experiments with the results of our AB tests.

Speaker Bio

Xavier Amatriain is currently managing a team of researchers and engineers creating next generation personalized experiences at Netflix. He is working on the cross-roads of machine learning, software engineering, innovation, and agile methods. Previous to this, he was a researcher focused on Recommender Systems and neighboring areas such as Data Mining, Machine Learning, User Modeling, and Social Networks. He has authored more than 50 papers in books, journals and international conferences.

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Event page provided by ACM

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  • David Z.

    Thanks a lot Xavier!

    October 23, 2012

  • Xavier A.

    I uploaded the slides from yesterday to Slideshare:

    October 23, 2012

  • Atul K.

    When will the slide deck be available? Xavier had mentioned that it will be available through the organizers. Can one of the organizers from ACM / Meetup please co-ordinate and let us know the date?

    October 23, 2012

  • Karl A.

    Party celebrating Andrew Ng (CS229 Machine Learning Course) Nov. 15

    October 22, 2012

    • Karl A.

      Please note that registration for this event will be open only to CS229 students and alumni, and that space is limited. If you wish to attend, request an invitation by RSVPing on LinkedIn.

      October 23, 2012

  • Uday T.

    As I announced dring the meetup session, Tata Consultancy Services is scaling up its Big Data team in Silicon Valley and is hiring. We have opportunities for Data Scientists, Hadoop Architects, Hadoop Developers, Java Architects and Core Java Developers. If you're interested in knowing more, or if you know someone who might be interested, please contact me.

    October 22, 2012

  • Stoney V.

    Xavier gave an excellent presentation.

    October 22, 2012

  • Bill

    Good presenter, good presentation. Plenty of opportunity to talk to the speaker. Several companies were there looking for people to hire. Lots of networking going on.

    October 22, 2012

  • Brian J.

    Great talk! Looking forward to sharing slides

    1 · October 22, 2012

  • Bill

    I am concerned about the capacity of the room, so I have restricted RSVPs to 250.

    October 22, 2012

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