dgliu / KDD23_EFIN
Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"
☆54Updated 6 months ago
Alternatives and similar repositories for KDD23_EFIN:
Users that are interested in KDD23_EFIN are comparing it to the libraries listed below
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆74Updated last year
- code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"☆29Updated 3 years ago
- Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆23Updated 8 months ago
- Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction☆76Updated 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…☆177Updated last year
- The project including MMOE, SNR_trans, SNR_avg, PLE, etc implemented by pytorch.☆132Updated 4 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆109Updated last year
- multi task mode for esmm and mmoe☆135Updated 3 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）☆246Updated 2 years ago
- The real-world Production Dataset from E-commerce platform Meituan☆19Updated 9 months ago
- The source code for our paper "Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction" (accepted by KDD2023 Applied Scie…☆34Updated last year
- PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction☆72Updated 5 years ago
- 主流推荐系统Rank算法的实现☆219Updated last year
- I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. …☆46Updated last year
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆215Updated 3 years ago
- ☆33Updated 3 years ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆305Updated 2 years ago
- Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.☆67Updated 6 months ago
- esmm model by tensorflow keras☆67Updated 3 years ago
- ☆14Updated 6 months ago
- Share Some Recommender System Paper I read.☆66Updated 3 years ago
- Implementation and experimental comparison of ES-DFM (Yang et al. 2021), Delayed feedback model(DFM, Chapelle 2014), Feedback Shift Impor…☆77Updated last year
- ☆171Updated 4 years ago
- PyTorch implementation of Entire Space Multitask Model (ESMM)☆37Updated 3 years ago
- Implementation of DSSM for recommendation by PyTorch (Including SENet and random negative sampling)☆71Updated 2 years ago
- The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)☆152Updated 8 months ago
- 《互联网大厂推荐算法实战》资料库☆254Updated last year
- Rankability Enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆11Updated 8 months ago
- Solution to the Debiasing Track of KDD CUP 2020☆157Updated 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】☆123Updated last year