438 Open source projects that are alternatives of or similar to BARS

📖Notes and remarks on Machine Learning related papers

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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

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

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.

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

Neural Graph Collaborative Filtering, SIGIR2019

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

kNN-based next-basket recommendation

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

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

An open source recommender system service written in Go

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

Building recommender systems in Julia

Representation Learning and Pairwise Ranking for Implicit Feedback in Top-N Item Recommendation

Papers about recommendation systems that I am interested in

Large scale training of factorization models for Collaborative Filtering with PyTorch

UC Berkeley team's submission for RecSys Challenge 2018

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.

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

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

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

Quick-Data-Science-Experiments

A framework for large scale recommendation algorithms.

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Summary of social recommendation papers and codes

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

Papers on Computational Advertising

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

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

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

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…

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

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

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

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 Clojure library for querying large data-sets on similarity

Neural Collaborative Filtering

Basic Movie Recommendation Web Application using user-item 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.

Disentagnled Graph Collaborative Filtering, SIGIR2020

recommender system tutorial with Python

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.

💀 Root-me Hall Of Fame dashboard 💀

🦕 A small lib to make your Deno benchmarking progress and results look pretty

👵 fully programmable stress testing framework

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

MoHR: Recommendation Through Mixtures of Heterogeneous Item Relationships

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

A powerful Python framework for writing and running portable regression tests and benchmarks for HPC systems.

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

Bayesian Personalized Ranking using PyTorch

Knowledge-aware recommendation papers.

Friends Recommendation and Link Prediction in Social Netowork

Fitness landscape exploration sandbox for biological sequence design.

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