no code implementations • 25 Aug 2023 • Hasan Saribas, Cagri Yesil, Serdarcan Dilbaz, Halit Orenbas
In this paper, we propose an attention-based approach that leverages max and mean pooling operations, along with a bit-wise attention mechanism, to enhance feature importance estimation in CTR prediction.
Ranked #2 on Click-Through Rate Prediction on Frappe