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Activity Number: 171
Type: Invited
Date/Time: Monday, August 4, 2008 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing
Abstract - #300361
Title: Data Analysis at Facebook
Author(s): Jeff Hammerbacher and Ding Zhou*+
Companies: Facebook
Address: , Palo Alto, CA, 94301,
Keywords: online social networks ; sentiment analysis ; massive data algorithms
Abstract:

Every day, several terabytes of data are generated by users of Facebook. To extract meaningful information from this data requires a novel infrastructure, scalable algorithms, and respect for the privacy of our users. We will discuss some functional areas in which techniques from statistics and machine learning are applied to Facebook data: user growth and activity, site integrity, influence and sentiment analysis, news feed quality, and platform application health and virility. The focus will be on methodology, rather than results.

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