Douglas Aberdeen
Doug worked for several years in the field of Reinforcement Learning before joining Google. Within Google he works on Gmail including things like spam detection, but most recently including Priority Inbox.
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The Learning Behind Gmail Priority Inbox
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Ondrey Pacovsky
LCCC : NIPS 2010 Workshop on Learning on Cores, Clusters and Clouds
The War Against Spam: A report from the front line
Brad Taylor
Dan Fingal
NIPS 2007 Workshop on Machine Learning in Adversarial Environments for Computer Security
Preview abstract
Fighting spam is a success story of real-world machine learning. Despite the occasional spam that does reach our inboxes, the overwhelming majority of spam —
and there is a lot of it — is positively identified. At the same time, the rarity with which users feel the need to check their spam box for false positives demonstrates
a high precision of classification. This paper is an overview of Google’s approach to fighting email abuse with machine learning, and a discussion of some lessons learned.
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