OpenCodePapers
click-through-rate-prediction-on-avazu
Click-Through Rate Prediction
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Paper
Code
AUC
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LogLoss
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ModelName
ReleaseDate
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Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction
✓ Link
0.8062
0.3637
OptInter
2021-08-03
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction
✓ Link
0.8060
0.3638
OptInter-M
2021-08-03
Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction
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0.8001
0.3678
CELS
2023-08-01
FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction
✓ Link
0.7970
0.3695
FCN
2024-07-18
CETN: Contrast-enhanced Through Network for CTR Prediction
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0.7962
CETN
2023-12-15
Optimizing Feature Set for Click-Through Rate Prediction
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0.795
0.3709
OptFS
2023-01-26
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction
✓ Link
0.7902
0.374
OptEmbed
2022-08-09
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving
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0.7897
0.3748
Sparse Deep FwFM
2020-02-17
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction
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0.7883
0.3746
FGCNN+IPNN
2019-04-09
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction
✓ Link
0.7762
0.3825
Fi-GNN
2019-10-12
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
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0.7752
0.3823
AutoInt
2018-10-29
MMBAttn: Max-Mean and Bit-wise Attention for CTR Prediction
0.7666
FinalMLP + MMBAttn
2023-08-25
MMBAttn: Max-Mean and Bit-wise Attention for CTR Prediction
0.765
DNN + MMBAttn
2023-08-25
Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
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0.7555
AFN+
2019-09-07
FLEN: Leveraging Field for Scalable CTR Prediction
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0.75
FLEN
2019-11-12