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The success of an Ad Mediation Software’s decision on from which ad network to
request ads and in which order depends on the ability to estimate eCPM (effective Cost Per Mille)
value used to measure ad revenue. This value varies for different applications depending on
different external factors. It is not possible for domain experts to make successful predictions by
analyzing different sets of external factors for a large number of applications and to keep these
estimates constantly up to date. Therefore, eCPM values were automatically estimated separately
for each application based on different advertising spaces and different countries using time series
analysis. The ARIMA model was used to estimate and the hyper-parameters of the model were
optimized by using grid search method. For most of the values obtained, it was found that the
values obtained with the intuition of domain experts were closer to the actual values.
International Data Science & Engineering Symposium
IDSES
Görkem GİRAY
Murat Osman ÜNALIR
Şeyma TAHMAZ