Ensemble learning methods for pay-per-click campaign management
We propose using ensemble techniques to improve pay-per-click campaign management. Actual data containing pay-per-click campaign results is used for our analysis. Four base classifiers are analyzed as inputs to four ensemble modeling techniques. A MetaCost ensemble predicted the highest campaign portfolio profit.
ensemble modeling sponsored search pay-per-click advertising classification