Abstract
For several years now, email has grown rapidly as the most-used communications tool on the internet. One advantage of the Internet is the ease with which people can communicate online. The popularity of online communication has created an explosion of users who regularly access the internet to connect with others. Many people use email to stay in touch with relatives and friends who live far away geographically. We propose a new framework to help prioritised email better using machine learning techniques; an intelligent email reply prediction system. Our goal is to provide concise, highly structured and prioritised emails, thus saving the user from browsing through thousands of emails and help to reduce time spent on checking and reading email messages.
Original language | English |
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Title of host publication | Proceedings of the World Congress on Engineering 2009 |
Editors | S.I. Ao, Len Gelman, David W.L. Hukins, Andrew Hunter, A.M. Korsunsky |
Publisher | Newswood Limited |
Pages | 31-36 |
Number of pages | 6 |
ISBN (Print) | 9789881701251 |
Publication status | Published - 1 Jul 2009 |
Externally published | Yes |
Event | World Congress on Engineering 2009 - London, United Kingdom Duration: 1 Jul 2009 → 3 Jul 2009 https://www.iaeng.org/WCE2009/ |
Conference
Conference | World Congress on Engineering 2009 |
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Abbreviated title | WCE |
Country/Territory | United Kingdom |
City | London |
Period | 1/07/09 → 3/07/09 |
Internet address |