Click Through Rate Prediction On Criteo

评估指标

AUC
Log Loss

评测结果

各个模型在此基准测试上的表现结果

Paper TitleRepository
DCNv30.81620.4358FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction
GDCN0.81610.4360Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction
MemoNet0.8152-MemoNet: Memorizing All Cross Features' Representations Efficiently via Multi-Hash Codebook Network for CTR Prediction
TF4CTR0.8150-TF4CTR: Twin Focus Framework for CTR Prediction via Adaptive Sample Differentiation
FinalMLP + MMBAttn0.81497-MMBAttn: Max-Mean and Bit-wise Attention for CTR Prediction-
FinalMLP0.8149-FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction
CETN0.81480.4373CETN: Contrast-enhanced Through Network for CTR Prediction
DNN + MMBAttn0.8143-MMBAttn: Max-Mean and Bit-wise Attention for CTR Prediction-
STEC0.81430.4379STEC: See-Through Transformer-based Encoder for CTR Prediction-
MaskNet0.8131-MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask
DeepLight0.81230.4395DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving
CELS0.81170.4400Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction-
OptFS0.81160.4401Optimizing Feature Set for Click-Through Rate Prediction
DCN V20.81150.4406DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems
OptEmbed0.81140.44OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction
ContextNet0.8113-ContextNet: A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding
FiBiNet++0.8110-FiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction
NormDNN0.8107-Correct Normalization Matters: Understanding the Effect of Normalization On Deep Neural Network Models For Click-Through Rate Prediction
DeepFFM0.81040.4416FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine
FiBiNET0.81030.4423--
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Click Through Rate Prediction On Criteo | SOTA | HyperAI超神经