404 Open source projects that are alternatives of or similar to Recoder

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

Building recommender systems in Julia

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

📖Notes and remarks on Machine Learning related papers

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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 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

recommender system tutorial with Python

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.

Fast Python Collaborative Filtering for Implicit Feedback Datasets

A Comparative Framework for Multimodal Recommender Systems

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.

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

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

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

Deep recommender models using PyTorch.

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.

🍊 👎 Add-on for Orange3 to support recommender systems.

fastFM: A Library for Factorization Machines

Neural Graph Collaborative Filtering, SIGIR2019

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems

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

Java-Based Context-aware Recommendation Library

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

Summary of social recommendation papers and codes

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

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

Recurrence the recommender paper with Tensorflow2.0

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

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

kNN-based next-basket recommendation

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

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

Disentagnled Graph Collaborative Filtering, SIGIR2020

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

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.

Lightweight Python library for in-memory matrix completion.

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Quick-Data-Science-Experiments

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

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

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

A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.

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

content discovery... IN 3D

a recommender engine node-js package for general use and easy to integrate.

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

pytorch version of neural collaborative filtering

LibRec: A Leading Java Library for Recommender Systems, see

Next RecSys Library

UC Berkeley team's submission for RecSys Challenge 2018

阅读过的推荐系统论文的归类总结，持续更新中…

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

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.

🌊 FluRS: A Python library for streaming recommendation algorithms

Some common recommendation system baseline, with description and link.

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