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Applying Machine Learning Techniques for Email Reply Prediction

机译:应用机器学习技术进行电子邮件回复预测

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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.
机译:几年来,电子邮件随着互联网上最常用的通信工具而迅速发展。互联网的一个优势是人们可以在线沟通的轻松。在线通信的普及已经创造了一个定期访问互联网与他人连接的用户的爆炸。许多人使用电子邮件与位于地理位置远的亲戚和朋友保持联系。我们提出了一种新的框架,可以使用机器学习技术更好地帮助优先电子邮件;智能电子邮件回复预测系统。我们的目标是提供简洁,高度结构化和优先的电子邮件,从而将用户保存到数千个电子邮件并帮助减少在检查和阅读电子邮件上花费的时间。

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