dgliu / KDD23_EFINLinks
Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"
☆74Updated last year
Alternatives and similar repositories for KDD23_EFIN
Users that are interested in KDD23_EFIN are comparing it to the libraries listed below
Sorting:
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆96Updated 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
- Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction☆88Updated last year
- The real-world Production Dataset from E-commerce platform Meituan☆28Updated 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…☆231Updated 2 years ago
- multi task mode for esmm and mmoe☆150Updated 4 years ago
- 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
- The project including MMOE, SNR_trans, SNR_avg, PLE, etc implemented by pytorch.☆138Updated 4 years ago
- A PyTorch implementation of DeepFM for CTR prediction problem.☆397Updated 4 years ago
- ☆34Updated 3 years ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆328Updated 2 years ago
- 主流推荐系统Rank算法的实现☆259Updated last year
- 练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等☆639Updated 3 years ago
- ☆276Updated 2 years ago
- This project is about recommendation system including rank&match models and metrics which are all implemented by `tensorflow 2.x`.☆57Updated 3 months ago
- A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.☆558Updated last week
- A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)☆722Updated 2 years ago
- 《互联网大厂推荐算法实战》资料库☆295Updated 2 years ago
- Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.☆67Updated last year
- I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. …☆53Updated last year
- CTR模型代码和学习笔记总结☆393Updated 4 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆116Updated 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.)☆169Updated last year
- 🛠 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
- esmm model by tensorflow keras☆70Updated 4 years ago
- some useful papers and blogs for people who are interested in online advertising☆74Updated 2 years ago
- 基于 Pytorch 实现推荐系统相关的算法☆181Updated 3 years ago