Reply Expectation Prediction for Email Management

We reduce email overload by addressing the problem of waiting for a reply to one’s email. We predict whether sent and received emails necessitate a reply, enabling the user to both better manage his inbox and to track mail sent to others. We discuss the features used to discriminate emails, show promising initial results with a logistic regression model, and outline future directions for this work.

• Type: Conference
• Year: 2005
• Where: CEAS
• Authors: Mark Dredze, John Blitzer, Fernando Pereira
• Keywords: CEAS 2005, Email Overload, Logistic Regression Model, One’s Email