Development of models and information technology for predicting TV viewing metrics using data science methods
Year:
2025Published in:
Slovak University of Technology in BratislavaAccurate TV-metric forecasts are essential for broadcasters and advertisers. This study builds a data-science framework that predicts core measures—Rating, GRP, TRP and the Affinity Index—using panel people-meter data. Four models are compared on daily and weekly series: ARIMA, exponential smoothing (ETS), Prophet and an LSTM network. Parameters are autotuned, with performance tested by MAPE, RMSE and MAE. ARIMA and ETS lead (daily MAPE ≈ 10–13 %), and weekly aggregation improves accuracy further. By forecasting target and base GRPs we derive reliable affinity estimates, helping planners pick the most efficient channels and programmes and thus optimise campaign reach and cost-effectiveness.
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Publisher: Taras Shevchenko National University of Kyiv
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Authors: Ihor Miroshnychenko, Jesus Raychuk
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Publisher: Ltd “DKS Centre”
Authors: Ihor Miroshnychenko, Vladyslav Krupin
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Publisher: Fuzzy Economic
Authors: A. Matviychuk, O. Lukianenko, Ihor Miroshnychenko
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Publisher: Taras Shevchenko National University of Kyiv
Authors: Ihor Miroshnychenko, Yurii Levchenko
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Publisher: Taras Shevchenko National University of Kyiv
Authors: Maksym Borysenko, Ihor Miroshnychenko
DEVELOPMENT OF DATA SCIENCE TECHNOLOGIES IN THE FIELD OF CLIMATE CHANGE RESEARCH
Publisher: Taras Shevchenko National University of Kyiv
Authors: Ihor Miroshnychenko, Andrii Ukrainets
Risk and return for cryptocurrencies as alternative investment: Kohonen maps clustering
Publisher: Київський національний економічний університет імені Вадима Гетьмана
Authors: Ihor Miroshnychenko, Andrii Kaminskyi, Kostiantyn Pysanets
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Publisher: Kyiv National Economic University named after Vadym Hetman
Authors: Ihor Miroshnychenko, O. Lukianenko, V. Chuzhykov