kailiang-zhong / DESCNLinks
Implementation of paper DESCN, which is accepted in SIGKDD 2022.
☆96Updated 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"☆74Updated last year
- code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"☆34Updated 3 years ago
- Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆28Updated last year
- ☆34Updated 3 years ago
- multi task mode for esmm and mmoe☆150Updated 4 years ago
- Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction☆88Updated last year
- The project including MMOE, SNR_trans, SNR_avg, PLE, etc implemented by pytorch.☆138Updated 4 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】☆144Updated 2 years ago
- The real-world Production Dataset from E-commerce platform Meituan☆28Updated last year
- PyTorch implementation of Entire Space Multitask Model (ESMM)☆38Updated 3 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆116Updated last year
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆328Updated 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…☆231Updated 2 years ago
- Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.☆67Updated last year
- Rankability Enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆14Updated last year
- 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）☆267Updated 3 months ago
- TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset☆204Updated 3 years ago
- A collection of research and application papers of (uncertainty) calibration techniques.☆333Updated last year
- A PyTorch implementation of DeepFM for CTR prediction problem.☆397Updated 4 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆85Updated 2 years 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
- ☆21Updated 3 years ago
- [AAAI 2024] The open source code for "STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation".☆56Updated last year
- 计算广告机制策略相关材料整理(A collection of research and application papers about Strategy in Internet advertising.)☆167Updated last year
- PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction☆74Updated 5 years ago
- CTR模型代码和学习笔记总结☆393Updated 4 years ago
- ☆277Updated 3 years ago
- wide deep ctr model by pytorch☆27Updated 5 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆221Updated 4 years ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆77Updated 4 years ago