Machine Learning Algorithm Mines 16 Billion E-Mails

Human e-mailing behavior is so predictable that computer scientists have created an algorithm that can calculate when an e-mail thread is about to end.

Electronic mail plays a hugely important role in the lives of a large fraction of the world’s population. And yet, strangely, little is known about the way people use e-mail. How many e-mail conversations do people have? How long are these conversations and how do they end? And how does the volume of incoming mail affect people’s behavior?


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