211 Open source projects that are alternatives of or similar to LR-GCCF

Disentagnled Graph Collaborative Filtering, SIGIR2020

Summary of social recommendation papers and codes

A curated list of awesome graph & self-supervised-learning-based recommendation.

An index of recommendation algorithms that are based on Graph Neural Networks.

Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.

Ranking made easy

This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.

Next RecSys Library

基于协同过滤的书籍推荐系统

Neural Collaborative Filtering

A collection of resources for Recommender Systems (RecSys)

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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.

Basic Movie Recommendation Web Application using user-item collaborative filtering.

Neural Graph Collaborative Filtering, SIGIR2019

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.

A Curated List of Must-read Papers on Recommender System.

Python 3.6 下的推荐算法解析，尽量使用简单的语言剖析原理，相似度度量、协同过滤、矩阵分解等

A Comparative Framework for Multimodal Recommender Systems

阅读过的推荐系统论文的归类总结，持续更新中…

A tour through recommendation algorithms in python [IN PROGRESS]

An open source recommender system service written in Go

LibRec: A Leading Java Library for Recommender Systems, see

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.

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

Large scale training of factorization models for Collaborative Filtering with PyTorch

Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.

Personalized real-time movie recommendation system

Using Deep Autoencoders for predictions of movie ratings.

MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.

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

TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation

A unified, comprehensive and efficient recommendation library

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

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.

R interface to fast.ai

Factorization Machine models in PyTorch

Lightweight Python library for in-memory matrix completion.

Variational autoencoders for collaborative filtering

GraphMat graph analytics framework

Papers about recommendation systems that I am interested in

Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.

Recommender Systems Paperlist that I am interested in

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

4 different recommendation engines for the MovieLens dataset.

Research on Collaborative Filtering Algorithms

pytorch version of neural collaborative filtering

UC Berkeley team's submission for RecSys Challenge 2018

A pure Python implement of Collaborative Filtering based on MovieLens' dataset.

(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)

NReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)

Spark SQL 实现 ItemCF，UserCF，Swing，推荐系统，推荐算法，协同过滤

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.