Overview
- Recent research on Modeling Intention in Email
- Computational Intelligence methods applied to Email
- Written by a leading expert in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 349)
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About this book
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.
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Table of contents (6 chapters)
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Front Matter
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Back Matter
Reviews
From the reviews:
“The targeted audience consists mainly of computer scientists, either researchers in machine learning or professionals who use email services in their work. The book would also be useful in education, especially to generate assignments for advanced students. Readers should have a machine learning background, but in general this monograph is easily readable. It provides a brief but comprehensive introduction to the peculiarities of email problems and the appropriate methods for addressing them. The updated bibliography and related work sections are useful for further study.” (Lefteris Angelis, ACM Computing Reviews, June, 2012)Authors and Affiliations
Bibliographic Information
Book Title: Modeling Intention in Email
Book Subtitle: Speech Acts, Information Leaks and Recommendation Models
Authors: Vitor R. Carvalho
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-19956-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-19955-4Published: 06 November 2011
Softcover ISBN: 978-3-642-26796-3Published: 29 May 2013
eBook ISBN: 978-3-642-19956-1Published: 29 March 2011
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XII, 104
Topics: Computational Intelligence, Artificial Intelligence, Information Systems Applications (incl. Internet)