主要为广告CTR预估系列论文的代码实现,论文讲解在我的知乎专栏进击的皮皮虾上
- Wide&Deep: Wide & Deep Learning for Recommender Systems
论文讲解: https://zhuanlan.zhihu.com/p/37733208- DeepFM: DeepFM:A Factorization-Machine based Neural Network for CTR Prediction
论文讲解: https://zhuanlan.zhihu.com/p/37732358- PNN: Product-based Neural Networks for User Response Prediction
论文讲解: https://zhuanlan.zhihu.com/p/38416582- DIN: Deep Interest Network for Click-Through Rate Prediction
论文讲解: https://zhuanlan.zhihu.com/p/38486892- AFM: Attentional Factorization Machines:Learning the Weight of Feature Interactions via Attention Networks
论文讲解: https://zhuanlan.zhihu.com/p/38517948- NFM: Neural Factorization Machines for Sparse Predictive Analytics
论文讲解: https://zhuanlan.zhihu.com/p/38613747- DCN: Deep & Cross Network for Ad Click Predictions
论文讲解: https://zhuanlan.zhihu.com/p/38863135- xDeepFM: xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems 论文讲解:https://zhuanlan.zhihu.com/p/39605775
- CCPM: A Convolutional Click Prediction Model
论文讲解:https://zhuanlan.zhihu.com/p/41659646
1、 Wide&Deep
2、 DeepFM
3、 PNN
4、 NFM
5、 DCN
6、 AFM
7、 FNN
8、 CCPM
9、 xDeepFM
目前整理代码中。。。