Preprint Open access
Beyond Interaction Capacity: Estimator Scaling with Recursive Models for CTR Prediction
Click-Through Rate prediction, a core task in recommendation and advertising systems, relies on modeling interactions among sparse categorical features. Explicit cross networks are a central paradigm for CTR prediction, and recent progress has largely come from increasing the interaction capacity of a single predictor …