Technical Perspective on Using Information Demand Pattern in a Collaborative Recommendation System for Improving E-Mail Communication

Abstract

Today e-mail communication information is widely used in organizations to distribute information. The increasing volume of received emails hinders an efficient work. It becomes more and more difficult to identify relevant e-mails inside this enormous volume of information. This work presents a solution in a multi-user environment by improving an established email client extension based on information demand pattern with a recommendation system. The contributions of this work are (1) the concept and implementation of the solution for a single-user environment using information demand pattern, (2) the concept and architecture to use the solution in a multiuser environment (3) a detailed technical description about the proposed solutions.

Information Demand Pattern for Teams

“…One useful application scenario could be the implementation of a team pattern in current research work, which aims at reducing the information overload in e-mail communication of teams by the information demand oriented filtering of e-mails using role patterns and recommendation systems [7], [25], [26].…”