Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine

Adaptive Discussion Forum for Reduce Information Overload

Authors
Aleksandr Kozko, Andrei Melnikov
Corresponding Author
Aleksandr Kozko
Available Online May 2016.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Information Technologies in Science, Management, Social Sphere and Medicine
Part of series
Advances in Computer Science Research
Publication Date
May 2016
ISBN
978-94-6252-196-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/itsmssm-16.2016.1How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

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  - 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  - https://doi.org/10.2991/itsmssm-16.2016.1
ID  - Kozko2016/05
ER  -