358 Open source projects that are alternatives of or similar to disentangled_graph_collaborative_filtering

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

Summary of social recommendation papers and codes

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

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

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

This is our implementation of SAMN: Social Attentional Memory Network

tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.

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

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

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

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.

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

Recommendation based on sequence

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.

PyTorch Implementation for Neural Graph Collaborative Filtering

Large scale training of factorization models for Collaborative Filtering with PyTorch

Classic papers and resources on recommendation

Building recommender systems in Julia

This is our implementation of EATNN: Efficient Adaptive Transfer Neural Network (SIGIR 2019)

BPR, Bayesian Personalized Ranking (BPR), extremely convenient BPR & Multiple Pairwise Ranking

In this code we implement and compared Collaborative Filtering algorithm, prediction algorithms such as neighborhood methods, matrix factorization-based ( SVD, PMF, SVD++, NMF), and many others.

Towards open benchmarking for recommender systems https://openbenchmark.github.io/BARS

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.

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

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

Papers about recommendation systems that I am interested in

Fast Python Collaborative Filtering for Implicit Feedback Datasets

No description or website provided.

An open source recommender system service written in Go

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

Neural Collaborative Filtering

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations

A Clojure library for querying large data-sets on similarity

A Comparative Framework for Multimodal Recommender Systems

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

A simple movie recommendation engine

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

One Person, One Model, One World: Learning Continual User Representation without Forgetting

WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems

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

阅读过的推荐系统论文的归类总结，持续更新中…

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.

📖Notes and remarks on Machine Learning related papers

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

kNN-based next-basket recommendation

Neural Graph Collaborative Filtering, SIGIR2019

Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques

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

PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.

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

recommender system tutorial with Python

UC Berkeley team's submission for RecSys Challenge 2018

PHP implementation of the Weighted Slope One rating-based collaborative filtering scheme.

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.

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

Lightweight Python library for in-memory matrix completion.

Research on Collaborative Filtering Algorithms

基于协同过滤的书籍推荐系统

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