There are 15 repositories under recommendation-algorithms topic.
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
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)
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
A Comparative Framework for Multimodal Recommender Systems
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
Basic Movie Recommendation Web Application using user-item collaborative filtering.
CORE is a plug-and-play conversational agent for any recommender system.
multi task mode for esmm and mmoe
机器学习、深度学习基础知识. 推荐系统及nlp相关算法实现
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
NReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)
The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.
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.
Matrix Factorization reimplementation with pytorch
推荐算法python实现
用户兴趣建模大赛 top10 开源代码
An example of doing MovieLens recommendations using triplet loss in Keras
Recommender Systems and Collaborative Filtering
This repository contains the code for 4th place solution for approach to RecSys Challenge 2020.
Neural recommender system implementation in TensorFlow.
This repository contains code for the Recommendation system to find restaurants. An End to End Project developed using Flask and python. The website is hosted on Heroku.