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Author Beley, Catherine, author.

Title Hulu and Hang [O'Reilly electronic resource] : Understanding Viewer Sessions with Big Data / Beley, Catherine. [O'Reilly electronic resource]

Edition 1st edition.
Publication Info. Data Science Salon, 2019.
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Description 1 online resource (1 video file, approximately 29 min.)
digital rdatr
video file
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.
System Details Mode of access: World Wide Web.
Performer Presenters: Catherine Beley; Herbie Huff.
Reproduction Electronic reproduction. Boston, MA : Safari. Available via World Wide Web., 2019.
Subject Hulu.
Consumer satisfaction.
Streaming technology (Telecommunications)
Big data.
Consommateurs -- Satisfaction.
En continu (Télécommunications)
Données volumineuses.
Genre Electronic videos.
Added Author Huff, Herbie, author.
Safari, an O'Reilly Media Company.
Standard No. 00000ZXK1SDIF0BE
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