609 Open source projects that are alternatives of or similar to Recommendation Systems Paperlist

Summary of social recommendation papers and codes

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

Large scale training of factorization models for Collaborative Filtering with PyTorch

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

A Comparative Framework for Multimodal Recommender Systems

Friends Recommendation and Link Prediction in Social Netowork

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.

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.

阅读过的推荐系统论文的归类总结，持续更新中…

Building recommender systems in Julia

recommender system tutorial with Python

kNN-based next-basket recommendation

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

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.

Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020

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

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

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

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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

Disentagnled Graph Collaborative Filtering, SIGIR2020

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

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.

📖Notes and remarks on Machine Learning related papers

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.

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

This is our implementation of SAMN: Social Attentional Memory Network

UC Berkeley team's submission for RecSys Challenge 2018

Neural Graph Collaborative Filtering, SIGIR2019

Next RecSys Library

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

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

An open source recommender system service written in Go

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.

Neural Collaborative Filtering

A Clojure library for querying large data-sets on similarity

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

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

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

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

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

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.

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

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

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

This is our implementation of JNSKR: Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation (SIGIR 2020)

LibRec: A Leading Java Library for Recommender Systems, see

A simple movie recommendation engine

Recommender Systems Paperlist that I am interested in

A reactive mini-social-network created with Vue!! 🏳️‍🌈🤞

基于 Pytorch 实现推荐系统相关的算法

Chain simple surveys into longer runs to build complex studies. Use R to generate pretty feedback and complex designs.

🛁 Clean-up inactive accounts and bots from your Twitter

The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"

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

A dataset with political datasets