Willofd101 / ziln_cltv
A python package to train & evaluate Customer Lifetime Value(CLTV) models using Neural Networks & ZILN loss(developed by google)
☆27Updated last year
Alternatives and similar repositories for ziln_cltv:
Users that are interested in ziln_cltv are comparing it to the libraries listed below
- About uplift modeling☆30Updated 8 years ago
- 12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting☆15Updated 7 years ago
- kaggle competition: https://www.kaggle.com/c/web-traffic-time-series-forecasting☆16Updated 7 years ago
- LambdaRank Neural Network model using Keras.☆86Updated 5 years ago
- This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…☆56Updated 3 years ago
- Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition☆31Updated 6 years ago
- ☆34Updated 6 years ago
- This is a group project for E-commerce repeat buyers purchase prediction using machine learning while accounting for imbalance outcome fo…☆12Updated 4 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆68Updated last week
- ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…☆104Updated 3 years ago
- A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.☆39Updated 5 years ago
- ☆40Updated 3 years ago
- 阿里巴巴ESMM模型解读☆41Updated 4 years ago
- Tutorial for Multi-Stakeholder Recommender Systems☆22Updated 3 years ago
- An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"☆61Updated 6 years ago
- LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.☆102Updated last year
- No Regrets: A deep dive comparison of bandits and A/B testing☆47Updated 7 years ago
- Lightweight uplift modeling framework for Python☆28Updated 5 years ago
- This repository contains the code for 4th place solution for approach to RecSys Challenge 2020.☆18Updated 4 years ago
- About Next Basket Recommendations Based on Neural Network.☆48Updated 4 years ago
- codes collection for ML/DL/RL/BigData projects☆22Updated 6 years ago
- convert DataFrame to libffm data format in parallel☆30Updated 7 years ago
- Recommended system(2018-2019); CTR prediction;Recommended-System-PyTorch===>> WIP☆9Updated 2 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
- 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
- Kaggle elo competition top gold medal solution☆13Updated 5 years ago
- some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interes…☆70Updated 6 years ago
- This is the source codes of Recsys 2023 paper "Interpretable User Retention Modeling in Recommendation"☆21Updated last year
- The implementation of the AutoEncoder-coupled Transformer Network by TensorFlow☆34Updated 5 years ago
- Real-time Relevant Recommendation Suggestion☆16Updated 2 years ago