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

Dirk Stamer | Zendy; Andrew Ponomarev | Zendy; Nikolay Shilov | Zendy; Alexander Smirnov | Zendy

Open Access

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

Author(s) -

Dirk Stamer,

Andrew Ponomarev,

Nikolay Shilov,

Alexander Smirnov

Publication year - 2015

Publication title -

complex systems informatics and modeling quarterly

Language(s) - English

Resource type - Journals

ISSN - 2255-9922

DOI - 10.7250/csimq.2015-2.03

Subject(s) - computer science , volume (thermodynamics) , perspective (graphical) , work (physics) , architecture , on demand , information system , world wide web , multimedia , engineering , artificial intelligence , mechanical engineering , art , physics , electrical engineering , quantum mechanics , visual arts

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.

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