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1. 介绍

该仓库是自己学习CTR预估模型过程中,利用Keras实现的经典模型的代码。随着学习的深入,还在不断更新中......

很多模型作者都公布了源代码,可以在原论文中找到。

2. 内容

  • 模型名 (论文title)
  • LR (Logistic Regression)
  • DNN (Deep Neural Networks)
  • LR-GBDT (Practical Lessons from Predicting Clicks on Ads at Facebook)
  • PNN (Product-based Neural Networks for User Response Prediction)
  • NFM (Neural Factorization Machine for Sparse Predictive Analytics)
  • AFM (Attentional Factorization Machines-Learning the Weight of Feature Interactions via Attention Networks)
  • DCN (Deep & Cross Network for Ad Click Predictions)
  • DeepFM (A Factorization-Machine based Neural Network for CTR Prediction)
  • xDeepFM (Combining Explicit and Implicit Feature Interactions for Recommender Systems)

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