LibRec: A Leading Java Library for Recommender Systems, see
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Updated
Jul 13, 2023 - Java
LibRec: A Leading Java Library for Recommender Systems, see
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
A framework for large scale recommendation algorithms.
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
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
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
CTR模型代码和学习笔记总结
Basic Movie Recommendation Web Application using user-item collaborative filtering.
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
A curated list of awesome resources about Recommender Systems.
RecDB is a recommendation engine built entirely inside PostgreSQL
A tour through recommendation algorithms in python [IN PROGRESS]
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
CORE is a plug-and-play conversational agent for any recommender system.
RecTools - library to build Recommendation Systems easier and faster than ever before
multi task mode for esmm and mmoe
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
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)
A simple recommendation evaluation system, the algorithm includes SLIM, LFM, ItemCF, UserCF
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