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SOTA
点击率预测
Click Through Rate Prediction On Kkbox
Click Through Rate Prediction On Kkbox
评估指标
AUC
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
AUC
Paper Title
Repository
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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Click Through Rate Prediction On Kkbox | SOTA | HyperAI超神经