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Click-Through Rate Prediction Benchmark

Performance Over Time

📊 Showing 7 results | 📏 Metric: AUC

Top Performing Models

Rank	Model	Paper	AUC	Date	Code
1	OPNN	Product-based Neural Networks for User Response Prediction	0.82	2016-11-01	📦 shenweichen/DeepCTR 📦 shenweichen/DeepCTR-Torch 📦 xue-pai/FuxiCTR
2	IPNN	Product-based Neural Networks for User Response Prediction	0.79	2016-11-01	📦 shenweichen/DeepCTR 📦 shenweichen/DeepCTR-Torch 📦 xue-pai/FuxiCTR
3	FCN	FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction	0.79	2024-07-18	📦 reczoo/FuxiCTR 📦 salmon1802/DCNv3
4	OptInter	Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction	0.78	2021-08-03	📦 fuyuanlyu/OptInter
5	OptInter-M	Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction	0.78	2021-08-03	📦 fuyuanlyu/OptInter
6	PNN*	Product-based Neural Networks for User Response Prediction	0.77	2016-11-01	📦 shenweichen/DeepCTR 📦 shenweichen/DeepCTR-Torch 📦 xue-pai/FuxiCTR
7	FNN	Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction	0.76	2016-01-11	📦 shenweichen/DeepCTR 📦 shenweichen/DeepCTR-Torch 📦 UlionTse/mlgb 📦 wnzhang/deep-ctr 📦 ddatta-DAC/Learning

All Papers (7)

Product-based Neural Networks for User Response Prediction

2016

OPNN

shenweichen/DeepCTR shenweichen/DeepCTR-Torch

Product-based Neural Networks for User Response Prediction

2016

IPNN

shenweichen/DeepCTR shenweichen/DeepCTR-Torch

FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction

2024

FCN

reczoo/FuxiCTR salmon1802/DCNv3

Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction

2021

OptInter

fuyuanlyu/OptInter

Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction

2021

OptInter-M

fuyuanlyu/OptInter

Product-based Neural Networks for User Response Prediction

2016

PNN*

shenweichen/DeepCTR shenweichen/DeepCTR-Torch

Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction

2016

FNN

shenweichen/DeepCTR shenweichen/DeepCTR-Torch

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Performance Over Time

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Top Performing Models

All Papers (7)

Product-based Neural Networks for User Response Prediction

Product-based Neural Networks for User Response Prediction

FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction

Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction

Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction

Product-based Neural Networks for User Response Prediction

Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction

Model	Paper	AUC	Date
OPNN	Product-based Neural Networks for User Response P…	0.82	2016-11-01
IPNN	Product-based Neural Networks for User Response P…	0.79	2016-11-01
FCN	FCN: Fusing Exponential and Linear Cross Network …	0.79	2024-07-18
OptInter	Memorize, Factorize, or be Naïve: Learning Optima…	0.78	2021-08-03
OptInter-M	Memorize, Factorize, or be Naïve: Learning Optima…	0.78	2021-08-03
PNN*	Product-based Neural Networks for User Response P…	0.77	2016-11-01
FNN	Deep Learning over Multi-field Categorical Data: …	0.76	2016-01-11