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The click-through rate is one of the main indicators based of which decisions are made in online advertising. A generalized approach to forecasting the click-through rate is proposed, taking into account the specifics of the industry data and using appropriate methods of processing categorical data and tree-based classification models. The simulation results can be used in the subsequent stages of analysis of advertising campaigns.
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Bratus et al. (Fri,) studied this question.
www.synapsesocial.com/papers/68e70459b6db64358767e36a — DOI: https://doi.org/10.15421/322301
Olena Bratus
Petro I. Bidyuk
Problems of applied mathematics and mathematic modeling
National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
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