JackHCC / Awesome-Uplift-ModelLinks
🛠 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
Alternatives and similar repositories for Awesome-Uplift-Model
Users that are interested in Awesome-Uplift-Model are comparing it to the libraries listed below
Sorting:
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆86Updated last year
- Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"☆66Updated 10 months ago
- Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆25Updated last year
- code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"☆33Updated 3 years ago
- 因果推理&AB实验相关论文小书库☆232Updated 2 years ago
- ☆40Updated 3 years ago
- Rankability Enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆14Updated last year
- ☆33Updated 3 years ago
- The real-world Production Dataset from E-commerce platform Meituan☆23Updated last year
- ☆268Updated 3 years ago
- pytorch implementation of dragonnet☆42Updated 2 years ago
- PyTorch implementation of Entire Space Multitask Model (ESMM)☆37Updated 3 years ago
- ☆19Updated 3 years ago
- An index of causal inference based recommendation algorithms (TOIS).☆59Updated last year
- We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)☆83Updated 2 years ago
- 因果推断相关论文、书籍☆48Updated 4 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆77Updated 2 years ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆316Updated 2 years ago
- An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos☆92Updated 5 months ago
- Counterfactual Regression☆23Updated 8 years ago
- 把因果思维融入机器学习中☆79Updated 5 years ago
- EconML/CausalML KDD 2021 Tutorial☆161Updated last year
- KwaiRec: A Fully-observed Dataset for Recommender Systems.☆154Updated 5 months ago
- I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. …☆52Updated last year
- ☆33Updated 2 years ago
- ☆58Updated 3 years ago
- ☆67Updated last year
- 推荐系统论文算法实现,包括序列推荐,多任务学习,元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, met…☆211Updated 2 years ago
- 📝 Summary of recommendation, advertising and search models.【推广搜技术汇总⭐】☆21Updated 2 years ago
- This repository collects 100 papers related to negative sampling methods.☆196Updated last year