recommendation-algorithms

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

LibRec: A Leading Java Library for Recommender Systems, see

A framework for large scale recommendation algorithms.

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

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.

A Comparative Framework for Multimodal Recommender Systems

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"

CTR模型代码和学习笔记总结

RecDB is a recommendation engine built entirely inside PostgreSQL

RecTools - library to build Recommendation Systems easier and faster than ever before

A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models

A curated list of awesome resources about Recommender Systems.

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Basic Movie Recommendation Web Application using user-item collaborative filtering.

A tour through recommendation algorithms in python [IN PROGRESS]

multi task mode for esmm and mmoe

An easy-to-use framework for large scale recommendation algorithms.

CORE is a plug-and-play conversational agent for any recommender system.

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）