302 Open source projects that are alternatives of or similar to Recommendation.jl

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

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

📖Notes and remarks on Machine Learning related papers

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

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Fast Python Collaborative Filtering for Implicit Feedback Datasets

recommender system tutorial with Python

Large scale training of factorization models for Collaborative Filtering with PyTorch

A Comparative Framework for Multimodal Recommender Systems

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.

🌊 FluRS: A Python library for streaming recommendation algorithms

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

fastFM: A Library for Factorization Machines

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.

kNN-based next-basket recommendation

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

Disentagnled Graph Collaborative Filtering, SIGIR2020

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

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.

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

Lightweight Python library for in-memory matrix completion.

LibRec: A Leading Java Library for Recommender Systems, see

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

Neural Graph Collaborative Filtering, SIGIR2019

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

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

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.

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

Some common recommendation system baseline, with description and link.

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

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

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

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

Deep recommender models using PyTorch.

pytorch version of neural collaborative filtering

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

UC Berkeley team's submission for RecSys Challenge 2018

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

Factorization Machine models in PyTorch

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

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

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

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.

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Summary of social recommendation papers and codes

A tour through recommendation algorithms in python [IN PROGRESS]

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

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

Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python

A Clojure library for querying large data-sets on similarity

An open source recommender system service written in Go

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.

Java-Based Context-aware Recommendation Library

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

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