Abstract:
TV rating is an important feedback mechanism becauseits results
greatly affect the immense profits of TV companies, advertisers and program
producers. Program rating with advertising impact has become a key factor in
the value of program time. It is desirable to estimate the program ratings fast,
economically and accurately. Therefore, how to select the samples for TV rating
investigation plays an important role in predicting program ratings. The sampling
problem is essentially a bi-objective optimization problem which minimizes the
number of samples and minimizes the error of program rating. In this study,
we propose an efficient sampling method for selecting samples from a large number
of sub-areas. The sampling method utilized the factor analysis based on orthogonal
array technique to select a set of the most informative sub-areas with minimal
error between the estimated and true program ratings. The samples in a sub-area
can be selected randomly. The number of selected sub-areas and the number of
samples in each sub-area can be determined adaptively by the decision maker.
In this study, the sampling method is applied to Taiwan Cable TV Channels in
Taipei and Taiwan. The experiments show that TV rating error of the proposed
sampling method is smaller than that of using the same number of sub-areas with
the largest TV ratings.
Hui-Ling Huang, Hua-Chin Lee, Shih-Chung Lai, Tse-Ming Tsai, Shih-Chun Chou, Bo-Fu Liu, Yun-Ju Yin, Hong-An Chen and Shinn-Ying Ho, 2013. An Efficient Sampling Method for Television Ratings and its Application
to
Taiwan Cable TV Channels. Journal of Applied Sciences, 13: 2602-2605.
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