QunBB / RecSysLinks
This project is about recommendation system including rank&match models and metrics which are all implemented by `tensorflow 2.x`.
☆68Updated 9 months ago
Alternatives and similar repositories for RecSys
Users that are interested in RecSys are comparing it to the libraries listed below
Sorting:
- TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset☆215Updated 4 years ago
- 主流推荐系统Rank算法的实现☆282Updated 2 years ago
- Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction☆94Updated 3 months ago
- 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…☆253Updated 2 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆121Updated 2 years ago
- 《互联网大厂推荐算法实战》资料库☆317Updated 2 years ago
- 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
- 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）☆274Updated 8 months ago
- multi task mode for esmm and mmoe☆157Updated 4 years ago
- ☆25Updated last year
- [AAAI 2024] The open source code for "STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation".☆60Updated last year
- 存放推荐算法相关代码、文档、资料☆259Updated 5 years ago
- Deep Interest Network for Click-Through Rate Prediction / Deep Interest Evolution Network for Click-Through Rate Prediction☆81Updated 5 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…☆224Updated 3 weeks ago
- ☆56Updated last year
- 推荐系统排序模型复现☆48Updated 5 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆227Updated 4 years ago
- ☆74Updated 2 years ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆342Updated 2 weeks ago
- ☆97Updated 4 years ago
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆306Updated 4 years ago
- The project including MMOE, SNR_trans, SNR_avg, PLE, etc implemented by pytorch.☆139Updated 5 years ago
- Share Some Recommender System Paper I read.☆70Updated 4 years ago
- PyTorch implementation of Entire Space Multitask Model (ESMM)☆42Updated 4 years ago
- Implementation of DSSM for recommendation by PyTorch (Including SENet and random negative sampling)☆95Updated 3 years ago
- CTR模型代码和学习笔记总结☆396Updated 4 years ago
- Deep Feedback Network for Recommendation☆96Updated 5 years ago
- PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction☆75Updated 6 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆114Updated 5 years ago
- Solution to the Debiasing Track of KDD CUP 2020☆159Updated 2 years ago