Collaborative Recommendation System for Improved Information Logistics: Adaption of Information Demand Pattern in E-Mail Communication
Stamer, Dirk, Ponomarev, Andrew, Kurt Sandkuhl, Nikolay Germanovich Shilov, Alexander V. Smirnov · 2014
Abstract. Today e-mail communication information is widely used in organizations to distribute information. The increasing volume of received e-mails 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 e-mail client extension based on information demand pattern with a recommendation system. The contributions of this work are (1) a concept and implementation of a solution for a single-user environment using information demand pattern and (2) a concept and an architecture to use the solution in a multi-user environment.