01. 程序化广告交易中的点击率预估
02. CTR预估中GBDT与LR融合方案
03. 浅谈矩阵分解在推荐系统中的应用
04. Factorization Machines
05. Factorization Machines 学习笔记(精)
06. Learning Recommender Systems with Adaptive Regularization
07. Field-aware Factorization Machines slide
08. Field-aware Factorization Machines for CTR Prediction
09. Deep Learning over Multi-Field Categorical Data: A Case Study on User Response Prediction (FNN)
10. Product-based Neural Networks for User Response Predictions (PNN)
11. Wide & Deep Learning for Recommender System(WDL)
12. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction(deepFM)
13. Deep & Cross Network for Ad Click Predictions(DCN)
14. LibRec 每周算法：DeepFM
15. Deep Interest Network for Click-Through Rate Prediction
深度学习在CTR中的应用
FNN.png
从ctr预估问题看看f(x)设计—DNN篇
除了LR，FM（FFM）方法，CTR预测还有那些方法，应用较为广泛？
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