Holistic Neural Network for CTR Prediction
نویسندگان
چکیده
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.
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تاریخ انتشار 2017