241 Open source projects that are alternatives of or similar to SLRC

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

📖Notes and remarks on Machine Learning related papers

kNN-based next-basket recommendation

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.

A Comparative Framework for Multimodal Recommender Systems

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

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

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

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

阅读过的推荐系统论文的归类总结，持续更新中…

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

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

Summary of social recommendation papers and codes

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

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

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

Neural Graph Collaborative Filtering, SIGIR2019

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

Building recommender systems in Julia

Disentagnled Graph Collaborative Filtering, SIGIR2020

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

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

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

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.

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

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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

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

UC Berkeley team's submission for RecSys Challenge 2018

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Neural Collaborative Filtering

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 ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

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.

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.

A Clojure library for querying large data-sets on similarity

An open source recommender system service written in Go

recommender system tutorial with Python

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

Papers about recommendation systems that I am interested in

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.

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

It is a content based recommender system that uses tf-idf and cosine similarity for N Most SImilar Items from a dataset

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

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021

Search/Recommendation engine and metainformation server for fanfiction net

An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.

基于协同过滤的书籍推荐系统

PyTorch Implementation for Neural Graph Collaborative Filtering

A tour through recommendation algorithms in python [IN PROGRESS]

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

Recommendation based on sequence

Deep learning for recommender systems

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

Set of notebooks analysing and discussing the ideas presented at Coursera's Recommender Systems course

Using Deep Autoencoders for predictions of movie ratings.

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Factorization Machine, Deep Learning, Recommender System