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

Dirk Stamer; Andrew Ponomarev; Nikolay Shilov; Alexander Smirnov

doi:10.7250/csimq.2015-2.03

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

Authors

Dirk Stamer University of Rostock, Chair Business Information Systems
Andrew Ponomarev St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS)
Nikolay Shilov St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS)
Alexander Smirnov ITMO University, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS)

DOI:

https://doi.org/10.7250/csimq.2015-2.03

Keywords:

Information logistics, information demand pattern, recommendation systems, e-mail

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) 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 multi-user environment (3) a detailed technical description about the proposed solutions.