Click-Through Rate Prediction on Criteo

Metric: Log Loss (lower is better)

LeaderboardDataset

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Results

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#	Model↕	Log Loss▲	Extra Data	Paper	Date↕	Code
1	QNN-α	0.4358	No	Revisiting Feature Interactions from the Perspec...	2025-05-23	Code
2	FCN	0.4358	No	FCN: Fusing Exponential and Linear Cross Network...	2024-07-18	Code
3	GDCN	0.436	No	Towards Deeper, Lighter and Interpretable Cross ...	2023-11-08	Code
4	CETN	0.4373	No	CETN: Contrast-enhanced Through Network for CTR ...	2023-12-15	Code
5	STEC	0.4379	No	STEC: See-Through Transformer-based Encoder for ...	2023-08-29	-
6	DeepLight	0.4395	No	DeepLight: Deep Lightweight Feature Interactions...	2020-02-17	Code
7	CELS	0.44	No	-	-	Code
8	OptEmbed	0.44	No	OptEmbed: Learning Optimal Embedding Table for C...	2022-08-09	Code
9	OptFS	0.4401	No	Optimizing Feature Set for Click-Through Rate Pr...	2023-01-26	Code
10	DCN V2	0.4406	No	DCN V2: Improved Deep & Cross Network and Practi...	2020-08-19	Code
11	DeepFFM	0.4416	No	FAT-DeepFFM: Field Attentive Deep Field-aware Fa...	2019-05-15	Code
12	OptInter	0.4417	No	Memorize, Factorize, or be Naïve: Learning Optim...	2021-08-03	Code
13	xDeepFM	0.4418	No	xDeepFM: Combining Explicit and Implicit Feature...	2018-03-14	Code
14	FiBiNET	0.4423	No	FiBiNET: Combining Feature Importance and Biline...	2019-05-23	Code
15	Fi-GNN	0.4453	No	Fi-GNN: Modeling Feature Interactions via Graph ...	2019-10-12	Code
16	AutoInt	0.4454	No	AutoInt: Automatic Feature Interaction Learning ...	2018-10-29	Code
17	WMLFF	0.447	No	Weighted Multi-Level Feature Factorization for A...	2023-08-03	Code
18	Clustered Compositional Embeddings	0.449	No	Clustering the Sketch: A Novel Approach to Embed...	2022-10-12	Code
19	DeepFM	0.45083	No	DeepFM: A Factorization-Machine based Neural Net...	2017-03-13	Code
20	PNN*	0.45214	No	Product-based Neural Networks for User Response ...	2016-11-01	Code
21	OPNN	0.45256	No	Product-based Neural Networks for User Response ...	2016-11-01	Code
22	IPNN	0.45323	No	Product-based Neural Networks for User Response ...	2016-11-01	Code
23	FNN	0.45738	No	Deep Learning over Multi-field Categorical Data:...	2016-01-11	Code
24	Wide&Deep	0.46772	No	Wide & Deep Learning for Recommender Systems	2016-06-24	Code
25	AutoDeepFM(3rd)	0.5405	No	AutoFIS: Automatic Feature Interaction Selection...	2020-03-25	Code
26	FINN	0.5409	No	Feature Interaction based Neural Network for Cli...	2020-06-07	-

#1QNN-α
0.4358
Log Loss· 2025-05-23
Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction Code
#2FCNSOTA
0.4358
Log Loss· 2024-07-18
FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction Code
#3GDCNSOTA
0.436
Log Loss· 2023-11-08
Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction Code
#4CETN
0.4373
Log Loss· 2023-12-15
CETN: Contrast-enhanced Through Network for CTR Prediction Code
#5STECSOTA
0.4379
Log Loss· 2023-08-29
STEC: See-Through Transformer-based Encoder for CTR Prediction
#6DeepLightSOTA
0.4395
Log Loss· 2020-02-17
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving Code
#7CELS
0.44
Log Loss
No paperCode
#8OptEmbed
0.44
Log Loss· 2022-08-09
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction Code
#9OptFS
0.4401
Log Loss· 2023-01-26
Optimizing Feature Set for Click-Through Rate Prediction Code
#10DCN V2
0.4406
Log Loss· 2020-08-19
DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems Code
#11DeepFFMSOTA
0.4416
Log Loss· 2019-05-15
FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine Code
#12OptInter
0.4417
Log Loss· 2021-08-03
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction Code
#13xDeepFMSOTA
0.4418
Log Loss· 2018-03-14
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems Code
#14FiBiNET
0.4423
Log Loss· 2019-05-23
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction Code
#15Fi-GNN
0.4453
Log Loss· 2019-10-12
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction Code
#16AutoInt
0.4454
Log Loss· 2018-10-29
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks Code
#17WMLFF
0.447
Log Loss· 2023-08-03
Weighted Multi-Level Feature Factorization for App ads CTR and installation prediction Code
#18Clustered Compositional Embeddings
0.449
Log Loss· 2022-10-12
Clustering the Sketch: A Novel Approach to Embedding Table Compression Code
#19DeepFMSOTA
0.45083
Log Loss· 2017-03-13
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction Code
#20PNN*SOTA
0.45214
Log Loss· 2016-11-01
Product-based Neural Networks for User Response Prediction Code
#21OPNNSOTA
0.45256
Log Loss· 2016-11-01
Product-based Neural Networks for User Response Prediction Code
#22IPNNSOTA
0.45323
Log Loss· 2016-11-01
Product-based Neural Networks for User Response Prediction Code
#23FNNSOTA
0.45738
Log Loss· 2016-01-11
Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction Code
#24Wide&Deep
0.46772
Log Loss· 2016-06-24
Wide & Deep Learning for Recommender Systems Code
#25AutoDeepFM(3rd)
0.5405
Log Loss· 2020-03-25
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction Code
#26FINN
0.5409
Log Loss· 2020-06-07
Feature Interaction based Neural Network for Click-Through Rate Prediction