项目作者： chenxijun1029

项目描述：
A PyTorch implementation of DeepFM for CTR prediction problem.

高级语言： Python

项目主页：

项目地址: git://github.com/chenxijun1029/DeepFM_with_PyTorch.git

创建时间： 2018-08-16T13:38:50Z
项目社区：https://github.com/chenxijun1029/DeepFM_with_PyTorch
开源协议：
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DeepFM_with_PyTorch

A PyTorch implementation of DeepFM for CTR prediction problem.

Usage

Download Criteo’s Kaggle display advertising challenge dataset from here( if you have had it already, skip it ), and put it in ./data/raw/
Generate a preprocessed dataset.
```
 ./utils/dataPreprocess.py
```
Train a model and predict.
```
 ./main.py
```

https://github.com/nzc/dnn_ctr.
https://github.com/PaddlePaddle/models/tree/develop/deep_fm.
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction, Huifeng Guo, Ruiming Tang, Yunming Yey, Zhenguo Li, Xiuqiang He.