Integral criterion for model training and method of...

G - Physics – 06 – Q

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G06Q 10/00 (2006.01) G06Q 30/00 (2006.01)

Patent

CA 2403245

The present invention maximizes modeling results for targeted marketing within a specific working interval so that lift within the working interval is higher than that obtained using traditional modeling methods. It accomplishes this by explicitly solving for lift through sorting a target list by predicted output variable outcome, calculating the integral criterion of lift for a desired range by using known response and non-response data for the target list, iterating on a set of input parameters until overfitting occurs, and testing results against a validation set.

Cette invention permet de maximiser les résultats de modélisation de marketing ciblé dans un intervalle de travail spécifique de sorte que l'augmentation dans l'intervalle de travail soit supérieure à celle obtenue à l'aide des procédés de modélisation traditionnels. A cette fin, on résout explicitement l'augmentation en triant une liste cible en fonction de l'issue d'une variable de sortie prédite, en calculant le critère intégral de l'augmentation dans une plage voulue en utilisant les réponses connues et données de non-réponses pour la liste cible, en effectuant une répétition sur un ensemble de paramètres d'entrée jusqu'à ce qu'il y ait surapprentissage, et en testant les résultats en s'aidant d'un ensemble de validation.

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