Modeling intention in email: speech acts, information leaks and recommendation models

摘要

This monograph describes the author's research on problems related to email management. Specifically, the book presents various machine learning techniques that can be used to address different issues of email exchange in a professional environment. Existing email messages are considered as potential data that can train efficient tools for prioritizing messages, protecting against information leaks, coordinating shared tasks, and tracking commitments and deadlines. The author presents a variety of machine learning methodologies and, most importantly, considers their combination in a very complex research field.