There are 30 repositories under collaborative-filtering topic.
A Curated List of Must-read Papers on Recommender System.
LibRec: A Leading Java Library for Recommender Systems, see
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
Neural Collaborative Filtering
Deep learning for recommender systems
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Factorization Machine models in PyTorch
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
Neural Graph Collaborative Filtering, SIGIR2019
个性化新闻推荐系统,A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.
A collection of resources for Recommender Systems (RecSys)
recommender system library for the CLR (.NET)
pytorch version of neural collaborative filtering
Recommender Systems Paperlist that I am interested in
4 different recommendation engines for the MovieLens dataset.
A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
Papers about recommendation systems that I am interested in
Book recommender system using collaborative filtering based on Spark
阅读过的推荐系统论文的归类总结,持续更新中…
Versatile End-to-End Recommender System
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
A C library for product recommendations/suggestions using collaborative filtering (CF)
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username