Study on the Impact of Big Data on Radio and Television Ratings
Jianping Chai, Xingyi Pan, Fulian Yin, Juanfang Chai
Available Online April 2015.
- https://doi.org/10.2991/amcce-15.2015.297How to use a DOI?
- Radio; Television; Big Data; Ratings; Sampling; Full Sample
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/amcce-15.2015.297 ID - Chai2015/04 ER -