We present an end-to-end system that extracts a user’s social network and its members’ contact information given the user’s email inbox. The system identifies unique people...
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 b...
We believe this paper is the first extensive user-study of whitelisting email addresses. While whitelists are common in social networking and instant messaging (e.g., buddylists),...
Email is one of the most successful computer applications yet devised. Our empirical data show however, that although email was originally designed as a communications application...
Classification of email is an important everyday task for a large and growing number of users. This paper describes the machine learning approaches underlying the i-ems (Intellige...