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Exploiting Argumentation Content and Structure to Advance Collaboration through Hybrid Recommendations

Authors:
Spyros Christodoulou
Nikos Karacapilidis
Costas Pappis

Keywords: collaboration; argumentation; decision making; hybrid recommendations.

Abstract:
Contemporary collaborative environments involve a flood of collected and exchanged data and require advanced techniques to enhance data processing, allow data transformation in actionable insights and reduce the subsequent cognitive overhead. In line with these requirements, this paper presents a hybrid recommender engine that builds on the synergy of content-based and collaborative filtering techniques to provide recommendations in argumentative collaboration settings. The proposed engine has been integrated in a web-based collaboration support system and exploits the content and structure of the underlying argumentation. Through a scenario of use, we demonstrate the application of our approach and discuss its usefulness in terms of advancing collaboration and augmenting the quality of decision making.

Pages: 40 to 45

Copyright: Copyright (c) IARIA, 2015

Publication date: October 11, 2015

Published in: conference

ISSN: 2308-4227

ISBN: 978-1-61208-436-7

Location: St. Julians, Malta

Dates: from October 11, 2015 to October 16, 2015