FAST: forecast and analytics of social media and traffic

Authors:
Venkata Rama Kiran Garimella;Carlos Castillo
Affiliations:
Qatar Computing Research Institute, Doha, Qatar;Qatar Computing Research Institute, Doha, Qatar
Venue:
Proceedings of the companion publication of the 17th ACM conference on Computer supported cooperative work & social computing
Year:
2014

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Abstract

We present FAST (\url{http://fast.qcri.org/}), a platform for real-time traffic predictions in online news sources. FAST accurately forecasts the future number of page views of an article based on user traffic and social media engagement signals. To our knowledge, this is the first industrial scale, real-time system for predictive web analytics.