easezyc / Multitask-Recommendation-LibraryLinks
MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
☆316Updated 2 years ago
Alternatives and similar repositories for Multitask-Recommendation-Library
Users that are interested in Multitask-Recommendation-Library are comparing it to the libraries listed below
Sorting:
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆375Updated 6 months 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）☆258Updated 3 weeks 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…☆209Updated 2 years ago
- ☆248Updated 9 months ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆112Updated last year
- A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.☆527Updated this week
- 主流推荐系统Rank算法的实现☆249Updated last year
- A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io☆1,169Updated 2 months ago
- 练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等☆615Updated 3 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…☆250Updated 3 years ago
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆294Updated 3 years ago
- multi task mode for esmm and mmoe☆146Updated 3 years ago
- 《互联网大厂推荐算法实战》资料库☆286Updated 2 years ago
- Implements of Awesome RecSystem Models with PyTorch/TF2.0☆257Updated 5 years ago
- The project including MMOE, SNR_trans, SNR_avg, PLE, etc implemented by pytorch.☆137Updated 4 years ago
- A PyTorch implementation of DeepFM for CTR prediction problem.☆391Updated 4 years ago
- CTR模型代码和学习笔记总结☆388Updated 3 years ago
- Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.☆67Updated 10 months ago
- Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction☆83Updated last year
- Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"☆254Updated 4 years ago
- KwaiRec: A Fully-observed Dataset for Recommender Systems.☆154Updated 4 months ago
- I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. …☆52Updated last year
- 推荐系统竞赛TOP开源解决方案汇总。☆255Updated 3 years ago
- Paper List of Pre-trained Foundation Recommender Models☆351Updated 9 months ago
- This repository collects debiasing methods for recommendation☆427Updated last year
- An up-to-date, comprehensive and flexible recommendation library☆205Updated last year
- “Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.☆588Updated 2 months ago
- PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction☆74Updated 5 years ago
- PyTorch(1.6+) implementation of https://github.com/kang205/SASRec☆421Updated last week
- 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…☆130Updated 2 weeks ago