314 Open source projects that are alternatives of or similar to Rsparse

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

Building recommender systems in Julia

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

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 Comparative Framework for Multimodal Recommender Systems

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.

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

🌊 FluRS: A Python library for streaming recommendation algorithms

fastFM: A Library for Factorization Machines

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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.

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

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.

recommender system tutorial with Python

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

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

KDD17_FMG

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

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.

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

Exposure Matrix Factorization: modeling user exposure in recommendation

pytorch version of neural collaborative filtering

LibRec: A Leading Java Library for Recommender Systems, see

Recommender System Using Parallel Matrix Factorization

Papers about recommendation systems that I am interested in

kNN-based next-basket recommendation

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

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

Neural Collaborative Filtering

content discovery... IN 3D

A tour through recommendation algorithms in python [IN PROGRESS]

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

UC Berkeley team's submission for RecSys Challenge 2018

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

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.

A Python implementation of LightFM, a hybrid recommendation algorithm.

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

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

Factorization Machine models in PyTorch

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

Neural Graph Collaborative Filtering, SIGIR2019

Java-Based Context-aware Recommendation Library

TenforFlow Implementation of Neural Factorization Machine

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.

An open source recommender system service written in Go

Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username

Some deep learning based recsys for open learning.

Recurrence the recommender paper with Tensorflow2.0

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

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

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.

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

Attention,Factorization Machine, Deep Learning, 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.

A Clojure library for querying large data-sets on similarity

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