Holistic Neural Network for CTR Prediction

Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He

Abstract: This paper proposes HNN, a holistic neural network structure for click-through rate (CTR) prediction in recommender systems. Empirically, equipped with HNN, the performance of deep neural networks for CTR prediction are improved on Criteo and Huawei App Store datasets.