Modeling Intention in Email - Speech Acts, Information Leaks and Recommendation Models (Paperback, 2011 ed.)

Everyday more than half of American adult internet users read or write email messages at least once. The prevalence of email has significantly impacted the working world, functioning as a great asset on many levels, yet at times, a costly liability. In an effort to improve various aspects of work-related communication, this work applies sophisticated machine learning techniques to a large body of email data. Several effective models are proposed that can aid with the prioritization of incoming messages, help with coordination of shared tasks, improve tracking of deadlines, and prevent disastrous information leaks. Carvalho presents many data-driven techniques that can positively impact work-related email communication and offers robust models that may be successfully applied to future machine learning tasks.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Studies in Computational Intelligence, 349
Release date:	May 2013
First published:	2011
Authors:	Vitor R. Carvalho
Dimensions:	235 x 155 x 6mm (L x W x T)
Format:	Paperback
Pages:	104
Edition:	2011 ed.
ISBN-13:	978-3-642-26796-3
Categories:	Books > Computing & IT > Computer communications & networking > Electronic mail (email) Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-642-26796-3
Barcode:	9783642267963

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