279 Open source projects that are alternatives of or similar to Recommender-System

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

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

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

Neural Collaborative Filtering

kNN-based next-basket recommendation

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Building recommender systems in Julia

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

An open source recommender system service written in Go

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

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

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

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

recommender system tutorial with Python

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

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

UC Berkeley team's submission for RecSys Challenge 2018

Papers about recommendation systems that I am interested in

Neural Graph Collaborative Filtering, SIGIR2019

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

A Clojure library for querying large data-sets on similarity

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.

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

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

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

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.

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Large scale training of factorization models for Collaborative Filtering with PyTorch

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

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

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.

Summary of social recommendation papers and codes

Machine Learning (EE 5184) in NTU

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

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

📖Notes and remarks on Machine Learning related papers

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

A Comparative Framework for Multimodal Recommender Systems

阅读过的推荐系统论文的归类总结，持续更新中…

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.

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

Disentagnled Graph Collaborative Filtering, SIGIR2020

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.

Some common recommendation system baseline, with description and link.

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

Recommender built using keras

Neural Citation Network for Context-Aware Citation Recommendation (SIGIR 2017)

Exploratory, Inferential and Predictive data analysis. Feel free to show your ❤️ by giving a star ⭐

🏷️ An e-commerce marketplace template. An online auction and shopping website for buying and selling a wide variety of goods and services worldwide.

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

Restricted Boltzmann Machine for collaborative filtering of movies.

This is our implementation of SAMN: Social Attentional Memory Network

A simple Music Recommendation System

Bayesian Personalized Ranking using PyTorch

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

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

An index of recommendation algorithms that are based on Graph Neural Networks.

BAS R package https://merliseclyde.github.io/BAS/

Kaggle Kernels (Python, R, Jupyter Notebooks)