jd-opensource / UTBoostLinks
A powerful tree-based uplift modeling system.
☆32Updated last year
Alternatives and similar repositories for UTBoost
Users that are interested in UTBoost are comparing it to the libraries listed below
Sorting:
- I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. …☆52Updated last year
- DGL implementation of EGES☆30Updated 2 years ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆77Updated 4 years ago
- LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EG…☆258Updated 3 years ago
- Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.☆67Updated 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
- ☆105Updated 2 years ago
- ☆97Updated 3 years ago
- 6th Solution for 2020-KDDCUP: Multi-Channel Retrieve and Sorting for Debiasing Recommender System☆164Updated 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
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆325Updated 2 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆115Updated 4 years ago
- ☆31Updated last year
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 3 years ago
- ☆172Updated 5 years ago
- Solution to the Debiasing Track of KDD CUP 2020☆160Updated 2 years ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆377Updated 9 months ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆115Updated last year
- ☆255Updated 11 months 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…☆166Updated last week
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆79Updated 4 years ago
- Advanced Retrieval Algorithms for Decomposing Large-Scale Candidate Set into Pieces.☆72Updated 3 months ago
- 1st Solution for 2019-CIKM-Analyticup: Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation☆234Updated last year
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆95Updated last year
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆101Updated 5 years ago
- ☆72Updated 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】☆143Updated 2 years ago
- A Lighting Pytorch Framework for Recommendation System, Easy-to-use and Easy-to-extend.☆82Updated 3 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆220Updated 3 years ago
- Deep Feedback Network for Recommendation☆95Updated 4 years ago