Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation

Predicting Television Ratings and Its Application to Taiwan Cable TV Channels

Authors
Hui-Ling Huang, Hua-Chin Lee, Li-Sun Shu, Shih-Chung Lai, Tse-Ming Tsai, Shih-Chun Chou, Bo-fu Liu, Yun-Ju Yin, Hong-An Chen, Shinn-Ying Ho
Corresponding Author
Hui-Ling Huang
Available Online April 2013.
DOI
10.2991/3ca-13.2013.48How to use a DOI?
Keywords
component; formatting; TV rating; digital set-top-box; sampling metho; IGA; rating model
Abstract

Using forecast television network ratings, television executives estimate a price to sell time to advertisers. TV rating is an important feedback mechanism because its results greatly affect the immense profits of TV companies, advertisers, and program producers. Therefore, how to select the samples for TV rating investigation plays an important role in predicting program ratings. How to design an accurate predicting model for program rating also is an important investigation. The predicting problem is essentially a bi-objective optimization problem which minimizes the number of samples and maximizes the predicting accuracy of program rating. In this study, we propose an evolutionary approach to designing a rating model (ERM) by simultaneous optimization of sampling sub-area selection and parameter tuning using an intelligent genetic algorithm (IGA). In this study, the ERM is applied to Taiwan Cable TV Channels in Taipei and Taiwan. The experiments show that TV rating prediction of the proposed ERM is efficient smaller than that of using the same number of sub-areas with the largest TV ratings and an optimal prediction program rating by using the selected sub-areas.

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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Volume Title
Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation
Series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
10.2991/3ca-13.2013.48
ISSN
1951-6851
DOI
10.2991/3ca-13.2013.48How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Hui-Ling Huang
AU  - Hua-Chin Lee
AU  - Li-Sun Shu
AU  - Shih-Chung Lai
AU  - Tse-Ming Tsai
AU  - Shih-Chun Chou
AU  - Bo-fu Liu
AU  - Yun-Ju Yin
AU  - Hong-An Chen
AU  - Shinn-Ying Ho
PY  - 2013/04
DA  - 2013/04
TI  - Predicting Television Ratings and Its Application to Taiwan Cable TV Channels
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation
PB  - Atlantis Press
SP  - 189
EP  - 193
SN  - 1951-6851
UR  - https://doi.org/10.2991/3ca-13.2013.48
DO  - 10.2991/3ca-13.2013.48
ID  - Huang2013/04
ER  -