Hulu and Hang: Understanding Viewer Sessions with Big Data

Everyday, Hulu ingests 100 terabytes of user level app interaction data. This session data is the closest touchpoint we have to subscribers' experience in our product short of joining them on their couch in their living rooms. Making meaning out of session data is a non-trivial effort across da...

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Bibliographic Details
Main Authors: Beley, Catherine (Author), Huff, Herbie (Author)
Corporate Author: Safari, an O'Reilly Media Company (Contributor)
Format: Electronic Video
Language:English
Published: [Erscheinungsort nicht ermittelbar] Data Science Salon 2019
Edition:1st edition.
Subjects:
Links:https://learning.oreilly.com/library/view/-/00000ZXK1SDIF0BE/?ar
Summary:Everyday, Hulu ingests 100 terabytes of user level app interaction data. This session data is the closest touchpoint we have to subscribers' experience in our product short of joining them on their couch in their living rooms. Making meaning out of session data is a non-trivial effort across data instrumentation, engineering, analytics, and data science teams. In this talk, you will get an inside look at how we are tackling this monumental project at Hulu: from product design, to generating insights, to building predictive models - all to create the most personalized and engaging streaming experience for our subscribers.
Item Description:Online resource; Title from title screen (viewed September 10, 2019)
Physical Description:1 Online-Ressource (1 video file, aSeitenSeitenroximately 29 min.)
Format:Mode of access: World Wide Web.