Build a Click-Through-Rate Prediction Model with Logistic Regression and Feature Crosses Free

Predict click probability for 480 million daily ad requests with hashed feature crosses and FTRL logistic regression, cutting normalized entropy from 0.92 to 0.795 while holding calibration at 1.00 and scoring 600 candidates in 7ms.