jd-opensource / UTBoost
A powerful tree-based uplift modeling system.
☆27Updated last year
Alternatives and similar repositories for UTBoost:
Users that are interested in UTBoost are comparing it to the libraries listed below
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆73Updated last year
- ☆40Updated 4 years ago
- ☆41Updated 2 months ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆76Updated 3 years ago
- 阿里DIEN与DIN Tensorflow2.0 复现☆53Updated 4 years ago
- Rankability Enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆11Updated 8 months ago
- This repo includes some graph-based CTR prediction models and other representative baselines.☆64Updated 9 months ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆78Updated 3 years ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆98Updated 4 years ago
- ☆34Updated 2 years ago
- ☆15Updated 3 years ago
- 在常规推荐系统算法和系统双优化的范式下,一线公司针对单个任务或单个业务的效果挖掘几乎达到极限。从2019年我们开始关注多种信息的萃取融合,提出了OneRec算法,希望通过平台或外部各种各样的信息来进行知识集成,打破数据孤岛,极大扩充推荐的“Extra World Knowl…☆106Updated 3 weeks ago
- The real-world Production Dataset from E-commerce platform Meituan☆19Updated 8 months ago
- Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.☆66Updated 6 months ago
- DDPM☆14Updated last year
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆112Updated 4 years ago
- The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)☆74Updated 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)☆246Updated 2 years ago
- ☆61Updated 3 years ago
- A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems☆65Updated 4 years ago
- DGL implementation of EGES☆27Updated last year
- Deep Interest Network for Click-Through Rate Prediction / Deep Interest Evolution Network for Click-Through Rate Prediction☆77Updated 4 years ago
- A Lighting Pytorch Framework for Recommendation System, Easy-to-use and Easy-to-extend.☆81Updated 2 years ago
- Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"☆32Updated 4 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆183Updated 3 years ago
- [WWW'22] Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation☆22Updated 2 years ago
- Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions☆37Updated 4 years ago
- Deep Feedback Network for Recommendation☆94Updated 4 years ago
- Code for paper: Learning to Build User-tag Profile in Recommendation System☆30Updated 2 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