There are 32 repositories under collaborative-filtering topic.
RSTutorials: 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
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
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.
Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)
A collection of resources for Recommender Systems (RecSys)
pytorch version of neural collaborative filtering
recommender system library for the CLR (.NET)
Recommender Systems Paperlist that I am interested in
4 different recommendation engines for the MovieLens dataset.
Versatile End-to-End Recommender System
A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"
Book recommender system using collaborative filtering based on Spark
BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS
阅读过的推荐系统论文的归类总结,持续更新中…
Papers about recommendation systems that I am interested in
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation