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Adaptive Discussion Forum for Reduce Information Overload
Authors
Aleksandr Kozko, Andrei Melnikov
Corresponding Author
Aleksandr Kozko
Available Online May 2016.
- DOI
- 10.2991/itsmssm-16.2016.1How to use a DOI?
- Keywords
- Discussion forum, semantic analisys, information overload
- Abstract
Nowadays an extremely large number of people is involved in the process of creating new information. This causes information overload, which reduces the effectiveness of traditional means of online interaction. We propose an approach that we hope will help to work with the increasing volumes of information. In this paper, we describe the algorithms and methods of forum restructuring aimed at simplifying the user's work and reducing the information overload for the user.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
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Cite this article
TY - CONF AU - Aleksandr Kozko AU - Andrei Melnikov PY - 2016/05 DA - 2016/05 TI - Adaptive Discussion Forum for Reduce Information Overload BT - Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine PB - Atlantis Press SP - 1 EP - 4 SN - 2352-538X UR - https://doi.org/10.2991/itsmssm-16.2016.1 DO - 10.2991/itsmssm-16.2016.1 ID - Kozko2016/05 ER -