INTEGRAL CRITERION FOR MODEL TRAINING AND METHOD OF APPLICATION TO TARGETED MARKETING OPTIMIZATION

摘要

The present invention maximizes modeling results for targeted marketing withina specificworking interval so that lift within the working interval is higher than thatobtained usingtraditional modeling methods. It accomplishes this by explicitly solving forlift throughsorting a target list by predicted output variable outcome, calculating theintegral criterion of liftfor a desired range by using known response and non-response data for thetarget list, iterating ona set of input parameters until overfitting occurs, and testing resultsagainst a validation set.