CTR Algorithm 根据论文, 博客, 知乎等方式学习一些CTR相关的算法 理解原理并自己动手来实现一遍 pytorch & tf2.0 保持一颗学徒的心！ Schedule Model pytorch tensorflow2.0 paper LR ✔️ ✔️ \ FM ✔️ ✔️ Factorization Machines, 2010. FFM ✔️ ✔️ Field-aware Factorization Machines for CTR Prediction, 2015. AFM ✔️ ✔️ Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks, 2017. DeepFM ✔️ ✔️ DeepFM: A Factorization-Machine based Neural Network for CTR Prediction, 2017. PNN ✔️ ✔️ Product-based Neural Networks for User Response Prediction, 2016. XDeepFM ✔️ ✔️ xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems, 2018. DCN ✔️ ✔️ Deep & Cross Network for Ad Click Predictions, 2017. AutoInt ✔️ ✔️ AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks, 2018. DIN ✔️ ✔️ Deep Interest Network for Click-Through Rate Prediction,2018 DIEN ✔️ ✔️ Deep Interest Evolution Network for Click-Through Rate Prediction,2019 FiBiNET ✔️ ✔️ FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction,2019 DCN-V2 ✔️ ✔️ Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems,2020 DIFM ✔️ ✔️ A Dual Input-aware Factorization Machine for CTR Prediction,2020 AFN ✔️ ✔️ Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions,2020 ONN ✔️ ✔️ Operation-aware Neural Networks for User Response Prediction,2019