Sciweavers

Share
ASUNAM
2010
IEEE

Mining Interaction Behaviors for Email Reply Order Prediction

9 years 15 days ago
Mining Interaction Behaviors for Email Reply Order Prediction
—In email networks, user behaviors affect the way emails are sent and replied. While knowing these user behaviors can help to create more intelligent email services, there has not been much research into mining these behaviors. In this paper, we investigate user engagingness and responsiveness as two interaction behaviors that give us useful insights into how users email one another. Engaging users are those who can effectively solicit responses from other users. Responsive users are those who are willing to respond to other users. By modeling such behaviors, we are able to mine them and to identify engaging or responsive users. This paper proposes four types of models to quantify engagingness and responsiveness of users. These behaviors can be used as features in the email reply order prediction task which predicts the email reply order given an email pair. Our experiments show that engagingness and responsiveness behavior features are more useful than other nonbehavior features in ...
Byung-Won On, Ee-Peng Lim, Jing Jiang, Amruta Pura
Added 12 Jan 2011
Updated 12 Jan 2011
Type Journal
Year 2010
Where ASUNAM
Authors Byung-Won On, Ee-Peng Lim, Jing Jiang, Amruta Purandare, Loo-Nin Teow
Comments (0)
books