Title:
Hulu and Hang : Understanding Viewer Sessions with Big Data Beley, Catherine.
Format:
Projected Medium, Visual Materials, Electronic Resources
Author:
Beley, Catherine, author.
Edition:
1st edition.
Publisher, Date:
Data Science Salon, 2019.
Description:
1 online resource (1 video file, approximately 29 min.)
digital
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.
Availability:
0 (of 0)
Current Holds:
0
Subjects:
Hulu.
Consumer satisfaction.
Streaming technology (Telecommunications)
Big data.
Web Site:
Click to access the O'Reilly site Web Link
ISBN:
* 00000ZXK1SDIF0BE
Call Number:
ONLINE VIDEO