InAudiumTV was created in order to automate the process of forecasting the viewership of advertising blocks on TV. The accuracy of viewing forecast is important for the functioning of the TV antennas because it is used to evaluate the advertising time and build pricing models.
Currently, viewing estimation is done by domain experts manually. However, it is not possible to process a large amount of data in this way, so the greater part of data is not used while a manual forecast is created. Thanks to the machine learning models in InAudiumTV we are able to utilize all collected data and the whole forecasting the process is automated.
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