📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

LensKit recommender toolkit.

A collection of resources for Recommender Systems (RecSys)

Recommendation System using ML and DL

This is the official repository for the Recommender Systems course at Politecnico di Milano.

A general purpose recommender metrics library for fair evaluation.

Python recommendation toolkit

RiVal recommender system evaluation toolkit

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

推荐系统学习资料、源码、及读书笔记

A Tensorflow based implicit recommender system

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dimensional) data distributions. In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.

2018 Spotify ACM RecSys Challenge 2'nd Place Solution

Parameter Server implementation in Apache Flink

This project implements different Deep Autoencoder for Collaborative Filtering for Recommendation Systems in Keras

A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.

Tutorials and examples of various recommender systems in industrial applications

Tensorflow NCE loss in Keras

Repository for "VisRec: A Hands-on Tutorial on Deep Learning for Visual Recommender Systems" at ACM IUI 2021 conference

Our solution for Recsys Challenge 2017.

Recommender System framework for Julia

Packaged movie recommenders as REST API using tensorflow-recommenders

Material supporting the tutorial "Pursuing Privacy in Recommender Systems: The View of Users and Researchers from Regulations to Applications" held at the 15th ACM Conference on Recommender Systems in Amsterdam, Netherlands

[Official Codes] Experiments on Generalizability of User-Oriented Fairness in Recommender Systems (SIGIR 2022)

🏝 Сервис персонализированных предложений для сайта туроператора TUI

Fullstack recommender system project with Flask + React + PyTorch + Numpy

This is the repository of code and dataset for paper "The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News", SIGIR 2018

This repository contains the core model we called "Collaborative filtering enhanced Content-based Filtering" published in our UMUAI article "Movie Genome: Alleviating New Item Cold Start in Movie Recommendation"

Using Machine Learning to predict and visualize user purchases using clickstream data gathered from an e-commerce site.