recommendation-algorithms
There are 161 repositories under recommendation-algorithms topic.
datawhalechina/fun-rec
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
guoguibing/librec
LibRec: A Leading Java Library for Recommender Systems, see
alibaba/EasyRec
A framework for large scale recommendation algorithms.
tsinghua-fib-lab/GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
PreferredAI/cornac
A Comparative Framework for Multimodal Recommender Systems
MaurizioFD/RecSys2019_DeepLearning_Evaluation
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.
qiaoguan/deep-ctr-prediction
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
HKUDS/SSLRec
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
DSXiangLi/CTR
CTR模型代码和学习笔记总结
MobileTeleSystems/RecTools
RecTools - library to build Recommendation Systems easier and faster than ever before
DataSystemsLab/recdb-postgresql
RecDB is a recommendation engine built entirely inside PostgreSQL
sb-ai-lab/RePlay
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
gaolinjie/awesome-recommender-systems
A curated list of awesome resources about Recommender Systems.
gabrielspmoreira/chameleon_recsys
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
asif536/Movie-Recommender-System
Basic Movie Recommendation Web Application using user-item collaborative filtering.
alibaba/TorchEasyRec
An easy-to-use framework for large scale recommendation algorithms.
jrzaurin/RecoTour
A tour through recommendation algorithms in python [IN PROGRESS]
busesese/MultiTaskModel
multi task mode for esmm and mmoe
CORE-Labet/CORE
CORE is a plug-and-play conversational agent for any recommender system.
wolf-bailang/AI-Projects
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）
Fisher87/ai_explore
机器学习、深度学习基础知识. 推荐系统及nlp相关算法实现
SSSxCCC/SLIM-recommendation
A simple recommendation evaluation system, the algorithm includes SLIM, LFM, ItemCF, UserCF
AmanPriyanshu/Federated-Recommendation-Neural-Collaborative-Filtering
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.
nreco/recommender
NReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)
hillup/recommend
practice on movielens using pytorch
shrebox/Course-Recommendation-System
A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.
federicoparroni/recsys2019
The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
AmazingDD/MF-pytorch
Matrix Factorization reimplementation with pytorch
voladorlu/MARank
Multi-order Attentive Ranking Model for Sequential Recommendation
zhengjingwei/recommender-system
推荐算法python实现
xlniu/yonghuxingqujianmo
用户兴趣建模大赛 top10 开源代码
Kyung-Min/triplet_recommendations_keras
An example of doing MovieLens recommendations using triplet loss in Keras
mdh266/RecommenderSystems
Recommender Systems and Collaborative Filtering
shsarv/Restaurant-Recommendation-System
An end-to-end restaurant recommendation system built with Flask and Python. This project showcases a fully functional web application, hosted on Heroku, that helps users discover the best dining options based on their preferences.
sumitsidana/recsys_challenge_2020
This repository contains the code for 4th place solution for approach to RecSys Challenge 2020.
sebsui/JavaRank
Recommendation engine in Java. Based on an ALS algorithm (Apache Spark). Train a new model after N seconds.