ML Research Wiki / Benchmarks / Click-Through Rate Prediction / KKBox

KKBox

Click-Through Rate Prediction Benchmark

Performance Over Time

📊 Showing 5 results | 📏 Metric: AUC

Top Performing Models

Rank Model Paper AUC Date Code
1 FCN FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction 0.86 2024-07-18 📦 reczoo/FuxiCTR 📦 salmon1802/DCNv3
2 xDeepFM xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems 0.85 2018-03-14 📦 microsoft/recommenders 📦 recommenders-team/recommenders 📦 shenweichen/DeepCTR
3 AutoInt+ AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks 0.85 2018-10-29 📦 shenweichen/DeepCTR 📦 PaddlePaddle/PaddleRec 📦 shenweichen/DeepCTR-Torch
4 DCNv2 DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems 0.85 2020-08-19 📦 tensorflow/models 📦 shenweichen/DeepCTR 📦 PaddlePaddle/PaddleRec
5 DeepFM DeepFM: A Factorization-Machine based Neural Network for CTR Prediction 0.85 2017-03-13 📦 shenweichen/DeepCTR 📦 PaddlePaddle/PaddleRec 📦 shenweichen/DeepCTR-Torch

All Papers (5)

reczoo/FuxiCTR salmon1802/DCNv3
microsoft/recommenders recommenders-team/recommenders
shenweichen/DeepCTR PaddlePaddle/PaddleRec
tensorflow/models shenweichen/DeepCTR
shenweichen/DeepCTR PaddlePaddle/PaddleRec