Yıl: 2022 Cilt: 30 Sayı: 3 Sayfa Aralığı: 750 - 766 Metin Dili: İngilizce DOI: 10.3906/elk-2105-265 İndeks Tarihi: 01-07-2022

Forecasting TV ratings of Turkish television series using a two-level machine learning framework

Öz:
TV rating is a numeric estimate of the popularity of television programs. Forecasting TV ratings is considered an important asset for investment planning of media due to its potential of reducing the risks of future ventures. The aim of this study is to develop a machine learning model capable of efficiently forecasting the TV ratings of Turkish TV series in a practical manner. To this end, two prediction models were proposed for forecasting the TV ratings of television series, facilitating an extensive set of features. A contribution of this study is the inclusion of social media-based features using search trends around television series and exploration of the viability of using these features in place of temporal features. The study presents an extensive evaluation of the forecast performance of the proposed models. The performance of the proposed models were evaluated using a data collection composed of ratings and various attributes of series and their episodes aired at prime-time Turkish broadcast during 2014 and 2018. In the experiments, a theoretical forecast performance was first established with the inclusion of temporal features. Next, a set of practical models were proposed, replacing temporal attributes with social media-based attributes, relating to internet popularity and visibility of the series. The experiments show that, the proposed models achieve up to 1.65% error rate for the theoretical setting and 7.06% error rate for the practical setting.
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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APA AKGÜL B, Kucukyilmaz T (2022). Forecasting TV ratings of Turkish television series using a two-level machine learning framework . , 750 - 766. 10.3906/elk-2105-265
Chicago AKGÜL BÜŞRANUR,Kucukyilmaz Tayfun Forecasting TV ratings of Turkish television series using a two-level machine learning framework . (2022): 750 - 766. 10.3906/elk-2105-265
MLA AKGÜL BÜŞRANUR,Kucukyilmaz Tayfun Forecasting TV ratings of Turkish television series using a two-level machine learning framework . , 2022, ss.750 - 766. 10.3906/elk-2105-265
AMA AKGÜL B,Kucukyilmaz T Forecasting TV ratings of Turkish television series using a two-level machine learning framework . . 2022; 750 - 766. 10.3906/elk-2105-265
Vancouver AKGÜL B,Kucukyilmaz T Forecasting TV ratings of Turkish television series using a two-level machine learning framework . . 2022; 750 - 766. 10.3906/elk-2105-265
IEEE AKGÜL B,Kucukyilmaz T "Forecasting TV ratings of Turkish television series using a two-level machine learning framework ." , ss.750 - 766, 2022. 10.3906/elk-2105-265
ISNAD AKGÜL, BÜŞRANUR - Kucukyilmaz, Tayfun. "Forecasting TV ratings of Turkish television series using a two-level machine learning framework ". (2022), 750-766. https://doi.org/10.3906/elk-2105-265
APA AKGÜL B, Kucukyilmaz T (2022). Forecasting TV ratings of Turkish television series using a two-level machine learning framework . Turkish Journal of Electrical Engineering and Computer Sciences, 30(3), 750 - 766. 10.3906/elk-2105-265
Chicago AKGÜL BÜŞRANUR,Kucukyilmaz Tayfun Forecasting TV ratings of Turkish television series using a two-level machine learning framework . Turkish Journal of Electrical Engineering and Computer Sciences 30, no.3 (2022): 750 - 766. 10.3906/elk-2105-265
MLA AKGÜL BÜŞRANUR,Kucukyilmaz Tayfun Forecasting TV ratings of Turkish television series using a two-level machine learning framework . Turkish Journal of Electrical Engineering and Computer Sciences, vol.30, no.3, 2022, ss.750 - 766. 10.3906/elk-2105-265
AMA AKGÜL B,Kucukyilmaz T Forecasting TV ratings of Turkish television series using a two-level machine learning framework . Turkish Journal of Electrical Engineering and Computer Sciences. 2022; 30(3): 750 - 766. 10.3906/elk-2105-265
Vancouver AKGÜL B,Kucukyilmaz T Forecasting TV ratings of Turkish television series using a two-level machine learning framework . Turkish Journal of Electrical Engineering and Computer Sciences. 2022; 30(3): 750 - 766. 10.3906/elk-2105-265
IEEE AKGÜL B,Kucukyilmaz T "Forecasting TV ratings of Turkish television series using a two-level machine learning framework ." Turkish Journal of Electrical Engineering and Computer Sciences, 30, ss.750 - 766, 2022. 10.3906/elk-2105-265
ISNAD AKGÜL, BÜŞRANUR - Kucukyilmaz, Tayfun. "Forecasting TV ratings of Turkish television series using a two-level machine learning framework ". Turkish Journal of Electrical Engineering and Computer Sciences 30/3 (2022), 750-766. https://doi.org/10.3906/elk-2105-265