Awesome-Rec
This is a library built upon RecBole for cross-domain recommendation algorithms
the official implementation of the RecSys 2023 paper “Uncovering ChatGPT's Capabilities in Recommender Systems”
A library of metrics for evaluating recommender systems
cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets
[WWW'2023] "MMSSL: Multi-Modal Self-Supervised Learning for Recommendation"
A Toolbox for MultiModal Recommendation. Integrating 10+ Models...
[WWW'23] PyTorch implementation for "Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders".
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
Code for the Paper "Zero-Shot Next-Item Recommendation using Large Pretrained Language Models"
该仓库尝试整理推荐系统领域的一些经典算法模型
A Lighting Pytorch Framework for Recommendation Models (PyTorch推荐算法框架), Easy-to-use and Easy-to-extend. https://datawhalechina.github.io/torch-rechub/
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
[SIGIR 2023 Oral] This is our Pytorch implementation for the paper: "Meta-optimized Contrastive Learning for Sequential Recommendation".
The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
A List of Recommender Systems and Resources
A Python scikit for building and analyzing recommender systems
A Python implementation of LightFM, a hybrid recommendation algorithm.
RSTutorials: A Curated List of Must-read Papers on Recommender System.
🌅 基于用户的协同过滤算法实现的商品推荐系统 https://github.com/MrQuJL/product-recommendation-system
BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS
key Deep Learning engineering tricks in recsys