LDACP, a model combining smoothed bucket classification and proxy-label regression, improves the accuracy of long-delayed conversion counts and raises the bidding system's compliance rate by 2.29% in an online A/B test.
Cost per action and optimized cost per mille, 2012
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LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy
LDACP, a model combining smoothed bucket classification and proxy-label regression, improves the accuracy of long-delayed conversion counts and raises the bidding system's compliance rate by 2.29% in an online A/B test.