The 1st International Workshop on Email in e-Commerce and Enterprise Contexts (E3C) was held on July 20th 2009 at the 11th IEEE Conference on Commerce and Enterprise Computing (CEC 2009) in Vienna, Austria. The E3C workshop brought together email and enterprise computing researchers and practitioners to present recent email research, software prototypes and to discuss the role and potential of ...

We investigate algorithms to detect groups in a single users email network. Our goal is to build a practically usable tool that can mine a users email archives and based on email communication patterns, infer groups of people in the users email network. We aim to use this information for 2 purposes: 1) To seed groups for access control to data in online social networks and 2) to automatically s...

Online communication media such as email, instant messaging, bulletin boards, voice-over-IP, and social networking sites allow any sender to reach potentially millions of users at near zero marginal cost. This property enables information to be exchanged freely: anyone with Internet access can publish content. Unfortunately, the same property opens the door to unwanted communication, marketing,...

Yueyu Fu & Hong Zhang School of Library and Information Science Indiana University, Bloomington Email {yufu | honzhang} @indiana.edu April 30, 2003 Abstract Email has become one of the most widely used computer applications. As the number of emails we exchange increases at high rate, the number of uses for email increases. Email data patterns may give us other useful information such as persona...

Electronic mail systems (Email) constitute one of the most important communication and business tools that people employ. Email in the workplace can help a business improve its productivity. Many organisations now rely on email to manage internal communications as well as other communication and business processes and procedures. This paper compares email use by university stakeholders (i.e. fa...

Email classification and prioritization expert systems have the potential to automatically group emails and users as communities based on their communication patterns, which is one of the most tedious tasks. The exchange of emails among users along with the time and content information determine the pattern of communication. The intelligent systems extract these patterns from an email corpus of...

While sentence extraction as an approach to summarization has been shown to work in documents of certain genres, because of the conversational nature of email communication, sentence extraction may not result in a coherent summary. In this paper, we present our work on augmenting extractive summaries of threads of email conversations with automatically detected question-answer pairs. We compare...

Now a days, email has become the most widely communication way in daily life. The main reason for using email is probably because of the convenience and speed in which it can be transmitted irrespective of geographical distances. To improve security and efficiency of email system, most of the email system adopt PKI and IBE encryption schemes. However, both PKI and IBE encryption schemes have th...

This paper presents the design and implementation details of an email synthesizer using two-stage stochastic natural language generation, where the first stage structures the emails according to sender style and topic structure, and the second stage synthesizes text content based on the particulars of an email structure element and the goals of a given communication for surface realization. The...