382 Open source projects that are alternatives of or similar to Polara

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.

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

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

📖Notes and remarks on Machine Learning related papers

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

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

Building recommender systems in Julia

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.

recommender system tutorial with Python

A Comparative Framework for Multimodal Recommender Systems

Large scale training of factorization models for Collaborative Filtering with PyTorch

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

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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

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

RiVal recommender system evaluation toolkit

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.

kNN-based next-basket recommendation

content discovery... IN 3D

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

A tour through recommendation algorithms in python [IN PROGRESS]

UC Berkeley team's submission for RecSys Challenge 2018

LibRec: A Leading Java Library for Recommender Systems, see

Papers about recommendation systems that I am interested in

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

A Python implementation of LightFM, a hybrid recommendation algorithm.

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

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

Some common recommendation system baseline, with description and link.

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

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

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

fastFM: A Library for Factorization Machines

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

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

pytorch version of neural collaborative filtering

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

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

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

阅读过的推荐系统论文的归类总结，持续更新中…

A Clojure library for querying large data-sets on similarity

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

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

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.

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

Recurrence the recommender paper with Tensorflow2.0

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

An open source recommender system service written in Go

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.

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

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

Neural Collaborative Filtering

Exposure Matrix Factorization: modeling user exposure in recommendation

🛍️RetailBox - eCommerce Recommender System using Machine Learning

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

Neural Graph Collaborative Filtering, SIGIR2019

Recommender System Using Parallel Matrix Factorization

🌊 FluRS: A Python library for streaming recommendation algorithms

Java-Based Context-aware Recommendation Library