kailiang-zhong / DESCNLinks
Implementation of paper DESCN, which is accepted in SIGKDD 2022.
☆98Updated last year
Alternatives and similar repositories for DESCN
Users that are interested in DESCN are comparing it to the libraries listed below
Sorting:
- Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"☆80Updated last year
- code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"☆36Updated 3 years ago
- Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆29Updated last year
- ☆34Updated 3 years ago
- The real-world Production Dataset from E-commerce platform Meituan☆30Updated last year
- Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction☆90Updated 2 weeks 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】☆148Updated 2 years ago
- multi task mode for esmm and mmoe☆153Updated 4 years ago
- Rankability Enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆16Updated last year
- The project including MMOE, SNR_trans, SNR_avg, PLE, etc implemented by pytorch.☆138Updated 4 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆89Updated 3 years ago
- Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.☆68Updated last year
- pytorch implementation of dragonnet☆45Updated 3 years ago
- ☆22Updated last week
- PyTorch implementation of Entire Space Multitask Model (ESMM)☆39Updated 3 years ago
- ☆285Updated 3 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆118Updated 2 years ago
- 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…☆238Updated 2 years ago
- ☆35Updated 2 years ago
- I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. …☆54Updated 2 years ago
- some useful papers and blogs for people who are interested in online advertising☆74Updated 2 years ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆332Updated 2 years ago
- 一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM, xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... (pytorch, tf2.0)☆272Updated 5 months ago
- TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset☆207Updated 4 years ago
- A PyTorch implementation of DeepFM for CTR prediction problem.☆399Updated 4 years ago
- A collection of research and application papers of (uncertainty) calibration techniques.☆339Updated last year
- This project is about recommendation system including rank&match models and metrics which are all implemented by `tensorflow 2.x`.☆60Updated 5 months ago
- Counterfactual Regression☆25Updated 9 years ago
- ☆23Updated last year
- PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction☆74Updated 6 years ago