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

DOI

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.

Copyright

© 2013, 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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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 (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1173
EP  - 1176
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.295
DO  - 10.2991/iccsee.2013.295
ID  - Gao2013/03
ER  -