Click-Through Rate Prediction on KDD12

Metric: AUC (higher is better)

LeaderboardDataset

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#	Model↕	AUC▼	Extra Data	Paper	Date↕	Code
1	FCN	0.8098	No	FCN: Fusing Exponential and Linear Cross Network...	2024-07-18	Code
2	MemoNet	0.806	No	MemoNet: Memorizing All Cross Features' Represen...	2022-10-25	Code
3	OptEmbed	0.8028	No	OptEmbed: Learning Optimal Embedding Table for C...	2022-08-09	Code
4	OptFS	0.7988	No	Optimizing Feature Set for Click-Through Rate Pr...	2023-01-26	Code
5	AutoInt	0.7881	No	AutoInt: Automatic Feature Interaction Learning ...	2018-10-29	Code

#1FCNSOTA
0.8098
AUC· 2024-07-18
FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction Code
#2MemoNetSOTA
0.806
AUC· 2022-10-25
MemoNet: Memorizing All Cross Features' Representations Efficiently via Multi-Hash Codebook Network for CTR Prediction Code
#3OptEmbedSOTA
0.8028
AUC· 2022-08-09
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction Code
#4OptFS
0.7988
AUC· 2023-01-26
Optimizing Feature Set for Click-Through Rate Prediction Code
#5AutoIntSOTA
0.7881
AUC· 2018-10-29
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks Code