Click Through Rate Prediction On Kkbox

AUC

Results

Performance results of various models on this benchmark

		Paper Title
DCNv3	0.8557	FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction
DeepIM	0.8537	Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions
xDeepFM	0.8535	xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
AutoInt+	0.8534	AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
DeepFM	0.8531	DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
DCNv2	0.8531	DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems

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