Visual explanations: images and quantities, evidence and narrative
Visual explanations: images and quantities, evidence and narrative
An algorithm for suffix stripping
Readings in information retrieval
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Earthquake shakes Twitter users: real-time event detection by social sensors
Proceedings of the 19th international conference on World wide web
Measuring online service availability using twitter
WOSN'10 Proceedings of the 3rd conference on Online social networks
Empirical study of topic modeling in Twitter
Proceedings of the First Workshop on Social Media Analytics
Towards detecting influenza epidemics by analyzing Twitter messages
Proceedings of the First Workshop on Social Media Analytics
Proceedings of the 2012 workshop on New security paradigms
Federated flow-based approach for privacy preserving connectivity tracking
Proceedings of the ninth ACM conference on Emerging networking experiments and technologies
Hi-index | 0.00 |
Over the past couple of years, Netflix has significantly expanded its online streaming offerings, which now encompass multiple delivery platforms and thousands of titles available for instant view. This paper documents the design and development of an outage detection system for the online services provided by Netflix. Unlike other internal quality-control measures used at Netflix, this system uses only publicly available information: the tweets, or Twitter posts, that mention the word "Netflix," and has been developed and deployed externally, on servers independent of the Netflix infrastructure. This paper discussed the system and provides assessment of the accuracy of its real-time detection and alert mechanisms.