├── .idea ├── TensorFlow_Practice.iml ├── misc.xml ├── modules.xml ├── vcs.xml └── workspace.xml ├── README.md ├── ctr_of_recommendation ├── AFM_Demo │ ├── AFM.py │ ├── DataReader.py │ ├── __pycache__ │ │ ├── AFM.cpython-36.pyc │ │ ├── DataReader.cpython-36.pyc │ │ └── config.cpython-36.pyc │ ├── config.py │ ├── data │ │ ├── test.csv │ │ └── train.csv │ └── main.py ├── DCN_Demo │ ├── DCN.py │ ├── DataLoader.py │ ├── __pycache__ │ │ ├── DCN.cpython-36.pyc │ │ ├── DataLoader.cpython-36.pyc │ │ └── config.cpython-36.pyc │ ├── config.py │ ├── data │ │ ├── test.csv │ │ └── train.csv │ └── main.py ├── DIEN_Demo │ ├── GruCell.py │ ├── data_iterator.py │ ├── model.py │ ├── rnn.py │ ├── source_code │ │ ├── Dice.py │ │ ├── data_iterator.py │ │ ├── generate_voc.py │ │ ├── local_aggretor.py │ │ ├── model.py │ │ ├── process_data.py │ │ ├── rnn.py │ │ ├── shuffle.py │ │ ├── split_by_user.py │ │ ├── train.py │ │ └── utils.py │ ├── train.py │ ├── utils.py │ └── vecAttGruCell.py ├── DIN_Demo │ ├── .idea │ │ ├── Basic-DIN-Demo.iml │ │ ├── misc.xml │ │ ├── modules.xml │ │ └── workspace.xml │ ├── Dice.py │ ├── README.md │ ├── build_dataset.py │ ├── convert_pd.py │ ├── input.py │ ├── model.py │ ├── remap_id.py │ ├── train.py │ └── utils │ │ ├── 0_download_raw.sh │ │ ├── 1_convert_pd.py │ │ ├── 2_remap_id.py │ │ └── auc.png ├── DSIN_Demo │ ├── config.py │ ├── dsin.py │ ├── gen_dsin_input.py │ ├── gen_sampled_data.py │ ├── gen_sessions.py │ └── train_dsin.py ├── DeepFM_model │ ├── .ipynb_checkpoints │ │ └── DeepFM-StepByStep-checkpoint.ipynb │ ├── DataReader.py │ ├── DeepFM-StepByStep.ipynb │ ├── DeepFM.py │ ├── config.py │ ├── data │ │ ├── test.csv │ │ └── train.csv │ ├── fig │ │ ├── DNN.png │ │ ├── DeepFM.png │ │ └── FM.png │ ├── main.py │ ├── metrics.py │ └── output │ │ ├── DNN_Mean-0.31183_Std0.29369.csv │ │ ├── DeepFM_Mean-0.11470_Std0.37335.csv │ │ ├── DeepFM_Mean0.01434_Std0.10176.csv │ │ ├── DeepFM_Mean0.05735_Std0.20027.csv │ │ ├── DeepFM_Mean0.26137_Std0.00210.csv │ │ └── FM_Mean0.23297_Std0.05576.csv ├── FFM_Demo │ ├── FFM_model.py │ └── TFModel │ │ ├── FFM-0.data-00000-of-00001 │ │ ├── FFM-0.index │ │ ├── FFM-0.meta │ │ ├── FFM │ │ ├── events.out.tfevents.1523526908.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523527022.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523527136.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523527252.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523527416.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530263.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530409.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530500.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530509.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530517.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530526.meituan-sxwdeMacBook-Pro-4.local │ │ ├── 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│ │ ├── events.out.tfevents.1523530675.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530686.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530695.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530703.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530710.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530718.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530726.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530736.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530744.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530751.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530759.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530766.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530774.meituan-sxwdeMacBook-Pro-4.local │ │ ├── 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│ │ ├── events.out.tfevents.1523530898.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530906.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530913.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530921.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530930.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530938.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530945.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530953.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530961.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530968.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530976.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523530984.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523537511.meituan-sxwdeMacBook-Pro-4.local │ │ ├── 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events.out.tfevents.1523537763.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523537772.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523537781.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523537790.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523537799.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523537807.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523537815.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523537825.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523537834.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523537843.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523537852.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523537861.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523537871.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523537880.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523537888.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523537897.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523537906.meituan-sxwdeMacBook-Pro-4.local │ │ ├── events.out.tfevents.1523537915.meituan-sxwdeMacBook-Pro-4.local │ │ └── events.out.tfevents.1523537925.meituan-sxwdeMacBook-Pro-4.local │ │ └── checkpoint ├── FM_demo │ ├── FM_model.py │ └── data │ │ ├── ua.base │ │ └── ua.test ├── FNN_demo │ ├── FNN.py │ ├── __init__.py │ └── preprocess.py ├── GBDT+LR-Demo │ ├── .idea │ │ ├── GBDT+LR-Demo.iml │ │ ├── misc.xml │ │ ├── modules.xml │ │ └── workspace.xml │ ├── GBDT_LR.py │ ├── data │ │ ├── test.csv │ │ └── train.csv │ └── model.txt ├── MLR(LS-PLM)_Demo │ ├── .idea │ │ ├── Basic-MLR-Demo.iml │ │ ├── misc.xml │ │ ├── modules.xml │ │ └── workspace.xml │ ├── __pycache__ │ │ └── data.cpython-37.pyc │ ├── data.py │ ├── data │ │ ├── adult │ │ ├── adult.data.txt │ │ ├── adult.names │ │ ├── adult.test.txt │ │ └── old.adult.names │ ├── lr.py │ ├── mlr.py │ └── plotResult.py ├── NFM_Demo │ ├── DataReader.py │ ├── NFM.py │ ├── __pycache__ │ │ ├── DataReader.cpython-36.pyc │ │ ├── NFM.cpython-36.pyc │ │ └── config.cpython-36.pyc │ ├── config.py │ ├── data │ │ ├── test.csv │ │ └── train.csv │ └── main.py ├── PNN_Demo │ ├── .idea │ │ ├── Basic-PNN-Demo.iml │ │ ├── misc.xml │ │ ├── modules.xml │ │ └── workspace.xml │ ├── DataReader.py │ ├── PNN.py │ ├── __pycache__ │ │ ├── DataReader.cpython-36.pyc │ │ ├── DataReader.cpython-37.pyc │ │ ├── PNN.cpython-36.pyc │ │ ├── PNN.cpython-37.pyc │ │ ├── config.cpython-36.pyc │ │ └── config.cpython-37.pyc │ ├── config.py │ ├── data │ │ ├── test.csv │ │ └── train.csv │ ├── main.py │ └── sfsfs.py └── Wide&Deep_Demo │ ├── .gitignore │ ├── .idea │ ├── Wide&Deep.iml │ ├── misc.xml │ ├── modules.xml │ └── workspace.xml │ ├── README.md │ ├── data │ ├── Index │ ├── adult.names │ ├── data_download.py │ └── old.adult.names │ ├── wide_component.py │ └── wide_deep.py ├── related_papers ├── 2016--Wide & Deep Learning for Recommender Systems.pdf ├── 2016-PNN-Product-based Neural Networks for User Response Prediction.pdf ├── 2017-Google-Deep & Cross Network for Ad Click Predictions.pdf ├── 2017-阿里-Deep Interest Network for Click-Through Rate Prediction.pdf ├── 2017-阿里-MLR-Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction.pdf ├── An overview of gradient descent optimization algorithms.pdf ├── Attentional Factorization Machines- Learning the Weight of Feature Interactions via Attention Networks.pdf ├── Deep Neural Networks for YouTube Recommendations.pdf ├── DeepFM.pdf ├── FFM.pdf ├── FM.pdf ├── NFM-Neural Factorization Machines for Sparse Predictive Analytics.pdf ├── README.md └── （GBDT+LR）Practical Lessons from Predicting Clicks on Ads at Facebook.pdf └── test.txt /.idea/TensorFlow_Practice.iml: -------------------------------------------------------------------------------- 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