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. …☆55Updated 2 years ago
- 6th Solution for 2020-KDDCUP: Multi-Channel Retrieve and Sorting for Debiasing Recommender System☆163Updated last year
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆115Updated 5 years ago
- 1st Solution for 2019-CIKM-Analyticup: Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation☆234Updated 2 months ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 4 years ago
- Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.☆68Updated last year
- Implements of Awesome RecSystem Models with PyTorch/TF2.0☆257Updated 5 years ago
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆103Updated 2 years ago
- ☆106Updated 2 years ago
- Advanced Retrieval Algorithms for Decomposing Large-Scale Candidate Set into Pieces.☆74Updated 8 months ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆76Updated 4 years ago
- 推荐系统修炼手册☆118Updated 3 years ago
- ☆173Updated 5 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆119Updated 2 years ago
- ☆212Updated 9 months ago
- 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.)☆181Updated last year
- Deep Feedback Network for Recommendation☆96Updated 5 years ago
- This repo includes some graph-based CTR prediction models and other representative baselines.☆69Updated last year
- ☆41Updated 4 years ago
- ☆22Updated 3 years ago
- A collection of research and application papers of (uncertainty) calibration techniques.☆341Updated last year
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆100Updated 5 years ago
- ☆55Updated last year
- Sequential deep matching model for recommender system at Alibaba☆209Updated 5 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）☆272Updated 7 months ago
- Solution to the Debiasing Track of KDD CUP 2020☆160Updated 2 years ago
- ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…☆106Updated 3 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆227Updated 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…☆264Updated 3 years ago
- ☆41Updated 4 years ago