推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
-
Updated
Jun 11, 2024 - Jupyter Notebook
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.
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.
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
A Comparative Framework for Multimodal Recommender Systems
[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
A curated list of awesome resources about Recommender Systems.
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
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
Basic Movie Recommendation Web Application using user-item collaborative filtering.
A tour through recommendation algorithms in python [IN PROGRESS]
CORE is a plug-and-play conversational agent for any recommender system.
multi task mode for esmm and mmoe
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)
机器学习、深度学习基础知识. 推荐系统及nlp相关算法实现
Add a description, image, and links to the recommendation-algorithms topic page so that developers can more easily learn about it.
To associate your repository with the recommendation-algorithms topic, visit your repo's landing page and select "manage topics."