huawei-noah / benchmarkLinks
☆277Updated 2 years ago
Alternatives and similar repositories for benchmark
Users that are interested in benchmark are comparing it to the libraries listed below
Sorting:
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆113Updated 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）☆262Updated 2 months ago
- A PyTorch implementation of DeepFM for CTR prediction problem.☆392Updated 4 years ago
- CTR模型代码和学习笔记总结☆390Updated 3 years ago
- Implements of Awesome RecSystem Models with PyTorch/TF2.0☆257Updated 5 years 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.)☆167Updated last year
- Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.☆67Updated 11 months ago
- ☆172Updated 4 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 3 years ago
- Solution to the Debiasing Track of KDD CUP 2020☆160Updated 2 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆220Updated 3 years ago
- ☆215Updated 4 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆115Updated 4 years ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆321Updated 2 years ago
- 6th Solution for 2020-KDDCUP: Multi-Channel Retrieve and Sorting for Debiasing Recommender System☆163Updated last year
- PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction☆75Updated 5 years ago
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆295Updated 3 years ago
- Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction☆85Updated last year
- ☆105Updated 2 years ago
- ☆289Updated 5 years ago
- 推荐系统竞赛TOP开源解决方案汇总。☆258Updated 3 years ago
- Deep-Learning based CTR models implemented by PyTorch☆252Updated 4 years ago
- Sharing the CTR Prediction original paper and personal study notes☆146Updated 5 years ago
- 推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/☆289Updated 4 years ago
- DeepFM for CTR prediction problem （pytorch 1.0）☆72Updated 5 years ago
- Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"☆445Updated 2 years ago
- 1st Solution for 2019-CIKM-Analyticup: Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation☆233Updated last year
- I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. …☆52Updated last year
- Offers a toolset for comprehensive, multi-faceted large-scale data analysis and optimizations☆58Updated 5 months ago
- A Lighting Pytorch Framework for Recommendation System, Easy-to-use and Easy-to-extend.☆82Updated 3 years ago