tensorflow-CTR

This porpose of this project is to let people have a deep understand for these maching learning algorithm which are used frequently. Of course, you can use it to verify your ideas quickly in daily work. Until now, this project has been implemented the algorithms as followings:

Algorithm	The link of paper or blog
LR	逻辑回归(Logistic Regression)详解
Xgboost	XGBoost：A Scalable Tree Boosting System
FM	Factorization Machines
Wide and Deep	Wide & Deep Learning for Recommender Systems
DeepFM	DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
DCN	Deep & Cross Network for Ad Click Predictions
xDeepFM	xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
AFM	Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks