@inbook{8da5c8334ec448c4b86b823b9ad6c2d5,
title = "Applying machine learning techniques for email reply prediction",
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.",
author = "Taiwo Ayodele and Shikun Zhou and Rinat Khusainov",
year = "2009",
month = jul,
day = "1",
language = "English",
isbn = "9789881701251",
series = "Lecture Notes in Engineering and Computer Science",
publisher = "Newswood Limited",
number = "2176",
pages = "31--36",
editor = "S. Ao and L. Gelman and D. Hukins and A. Hunter and A. Korsunsky",
booktitle = "The World Congress on Engineering 2009 Volume I",
edition = "2176",
note = "Proceedings of the World Congress on Engineering ; Conference date: 01-07-2009 Through 03-07-2009",
}