#Recommendation-algorithms
Showing 9 of 9 repositories tagged #recommendation-algorithms, ranked by stars
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
RecTools - library to build Recommendation Systems easier and faster than ever before
An easy-to-use framework for large scale recommendation algorithms.
AI项目（强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理）
Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.