Study on the Impact of Big Data on Radio and Television Ratings

DOI

10.2991/amcce-15.2015.297How to use a DOI?

Keywords

Radio; Television; Big Data; Ratings; Sampling; Full Sample

Abstract

For problems, such as the low accuracy and easily polluted data of the traditional sampling ratings index calculation method, we conduct research on the ratings of big data. Firstly, we argue the effect of the amount of data on the accuracy of the ratings, and do experiments using real data. By sampling with replacement, sampling without replacement and stratified sampling, we verify that the increase of the amount of data will improve the accuracy of the estimation. Finally, this paper explains the necessity of radio and television big data analysis.

Copyright

© 2015, 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  - Jianping Chai
AU  - Xingyi Pan
AU  - Fulian Yin
AU  - Juanfang Chai
PY  - 2015/04
DA  - 2015/04
TI  - Study on the Impact of Big Data on Radio and Television Ratings
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.297
DO  - 10.2991/amcce-15.2015.297
ID  - Chai2015/04
ER  -