情境感知多式联运推荐_Jupyter Notebook_Python_下载.zip

# KDD-Cup-2019-CAMMTR ## Competition Website [Context-Aware Multi-Modal Transportation Recommendation](https://dianshi.baidu.com/competition/29/rule) ## File Structure ``` . ├── Code # 代码 │   ├── ExploratoryDataAnalysis.ipynb # EDA │   ├── FeatureEngineering # 数据处理和特征工程 │   │   ├── train_queries_processing.ipynb │   │   ├── train_plans_processing.ipynb │   │   └── ... │   │ │   ├── Models # 模型 │   │   ├── lightgbm.ipynb │   │   ├── xgboost.ipynb │   │   └── ... │   │ │   └── Pipline # 最终的pipline │   │   ├── pipline.py │   │   └── ... │   │   │   └── Utilities # json解析代码 │ ├── Data # 数据文件 │   ├── data_set_phase1 │   │   ├── profiles.csv │   │   ├── test_plans.csv │   │   ├── test_queries.csv │   │   ├── train_clicks.csv │   │   ├── train_plans.csv │   │   └── train_queries.csv │   └── submit.csv │ ├── Config # 配置文件夹 │   └── *.json │ ├── .git │ ├── .gitignore │ └── README.md ``` ## Reference * [ContextAware MultiModal Transportation Recommendation_Part1_赛题解析](https://mp.weixin.qq.com/s/3Qgz-swaSVsqHU86B5mfOA) * [ContextAware MultiModal Transportation Recommendation_Part2_EDA](https://mp.weixin.qq.com/s/rlp2c3k8Y7NC73SPoONAMQ) * [CAMMTR(KDD19)_Part3_多分类Baseline分享(含Code)](https://mp.weixin.qq.com/s/CHLxzXo2dV6RY-JVam510w)