mattzheng / Attention-RNN-Multi-Touch-AttributionLinks
Attention-RNN来做多触点归因模型
☆30Updated 3 years ago
Alternatives and similar repositories for Attention-RNN-Multi-Touch-Attribution
Users that are interested in Attention-RNN-Multi-Touch-Attribution are comparing it to the libraries listed below
Sorting:
- A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.☆39Updated 5 years ago
- An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of event…☆32Updated 3 years ago
- Python implementation of Shapley value for multi touch attribution modeling☆26Updated 3 years ago
- An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"☆61Updated 6 years ago
- Deep learning for flexible market price modeling (landscape forecasting) in real-time bidding advertising. An implementation of our KDD 2…☆72Updated 4 years ago
- 零售电商客户流失模型，基于tensorflow，xgboost4j-spark，spark-ml实现LR，FM，GBDT，RF，进行模型效果对比，离线/在线部署方式总结☆67Updated last year
- Finding similar, high-valued users based on seed users. The model includes 1805 features using Hive HQL and AWS Redshift.☆35Updated 6 years ago
- ☆40Updated 3 years ago
- A python package to train & evaluate Customer Lifetime Value(CLTV) models using Neural Networks & ZILN loss(developed by google)☆27Updated last year
- 阿里巴巴ESMM模型解读☆41Updated 4 years ago
- Models for Multi-Touch Attribution☆21Updated 3 months ago
- Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark☆88Updated 6 years ago
- An implementation of the TKDE paper "Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising"☆59Updated 7 years ago
- PAKDD AutoML challenge 2nd Feature Engineering Part☆70Updated 4 years ago
- LambdaRank Neural Network model using Keras.☆86Updated 5 years ago
- 🛠 How to Apply Causal ML to Real Scene Modeling？How to learn Causal ML？【✔从Causal ML到实际场景的Uplift建模】☆133Updated 2 years ago
- A two tower recommendation system implementation with tensorflow estimator, for CTR or Recall.☆75Updated 3 years ago
- CTR Prediction on PyTorch☆14Updated 5 years ago
- Neural candidates generation network based on Youtube reommender paper☆21Updated 6 years ago
- 对逻辑回归各种用法的总结,包括线性,多类,并行,分布式,在线,优化方案☆15Updated 7 years ago
- 基于ESMM、MMoE和deepFM的多目标模型☆25Updated 3 years ago
- Finding customer lookalikes using Machine Learning in PySpark☆33Updated 6 years ago
- 通过对于现有开源分布式机器学习工具的整合(主要是基于参数服务器的logistic regression,xgboost,FFM,FM ),打造一个工业级的,可以线上使用的点击率预估流水线☆26Updated 8 years ago
- Recommender system based on Flink and Reinforcement Learning☆106Updated 4 years ago
- Field-aware factorization machine (FFM) with FTRL☆46Updated last year
- A feedback controller for stabilizing RTB performance to a target value.☆69Updated 9 years ago
- 分别基于statsmodels和scikit-learn实现两种可用于sklearn pipeline的 LogisticRegression，并输出相应的报告☆20Updated 2 years ago
- SHALE: An Efficient Algorithm for Allocation of Guaranteed Display Advertising Guaranteed Display Advertising☆50Updated 8 years ago
- esmm model by tensorflow keras☆68Updated 3 years ago
- LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.☆102Updated last year