Willofd101 / ziln_cltv
A python package to train & evaluate Customer Lifetime Value(CLTV) models using Neural Networks & ZILN loss(developed by google)
☆22Updated last year
Related projects ⓘ
Alternatives and complementary repositories for ziln_cltv
- Real-time Relevant Recommendation Suggestion☆16Updated 2 years ago
- About uplift modeling☆30Updated 8 years ago
- The real-world Production Dataset from E-commerce platform Meituan☆17Updated 5 months ago
- A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.☆35Updated 4 years ago
- ☆23Updated 2 years ago
- An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"☆59Updated 5 years ago
- The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23☆16Updated last year
- Oral presentation at KDD Cup Workshop @ KDD 2022☆19Updated 2 years ago
- ☆34Updated 6 years ago
- A simple package about multi-task recommendation☆17Updated 3 years ago
- This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…☆53Updated 2 years ago
- An open-source dataset for e-commerce user intent detection and embedding retrieval☆21Updated 2 years ago
- Recommended system(2018-2019); CTR prediction;Recommended-System-PyTorch===>> WIP☆9Updated 2 years ago
- Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. In Recsys23.☆10Updated last year
- top8 KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall☆36Updated 2 years ago
- This is a group project for E-commerce repeat buyers purchase prediction using machine learning while accounting for imbalance outcome fo…☆12Updated 3 years ago
- 12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting☆15Updated 6 years ago
- A easy library for recommendation system or computational advertising☆22Updated 5 years ago
- ☆31Updated last year
- Deep learning for flexible market price modeling (landscape forecasting) in real-time bidding advertising. An implementation of our KDD 2…☆71Updated 4 years ago
- An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of event…☆29Updated 3 years ago
- This repository contains the code for 4th place solution for approach to RecSys Challenge 2020.☆17Updated 4 years ago
- Refer to paper "Embedding-based News Recommendation for Millions of Users" & "Article De-duplication Using Distributed Representations" p…☆31Updated last year
- Finding similar, high-valued users based on seed users. The model includes 1805 features using Hive HQL and AWS Redshift.☆33Updated 5 years ago
- Implement item2vec algorithm☆76Updated 6 years ago
- Attention-RNN来做多触点归因模型☆26Updated 3 years ago
- some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interes…☆70Updated 5 years ago
- code for the paper "Personalized Context-Aware Re-ranking for E-commerce Recommendation Systems"☆51Updated 5 years ago
- [AAAI 2024] The open source code for "STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation".☆42Updated 3 months ago
- Lightweight uplift modeling framework for Python☆28Updated 4 years ago