Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering

Design and Implementation of Broadcasting and Television Decision Support System module for Personalized Programs Recommendation

Authors
Ya Gao, Fulian Yin, Jianping Chai
Corresponding Author
Ya Gao
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.295How to use a DOI?
Keywords
broadcasting and television decision support system, personalized program recommendation, data mining, Clustering algorithm
Abstract
To solve the problem in the original and one-way industry chain of Broadcasting and Television that it is difficult for network operators to communicate with other members in the industry chain, a personalized program recommendation module is proposed as a typical module in broadcasting and television decision support system. This paper analyses the Clustering algorithm in data mining, and presents the personalized program recommendation module which is based on the Clustering algorithm. The module recommends personalized programs to TV users and provides effective decision support for network operators.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccsee.2013.295How 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  - Ya Gao
AU  - Fulian Yin
AU  - Jianping Chai
PY  - 2013/03
DA  - 2013/03
TI  - Design and Implementation of Broadcasting and Television Decision Support System module for Personalized Programs Recommendation
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.295
DO  - https://doi.org/10.2991/iccsee.2013.295
ID  - Gao2013/03
ER  -