There are 5 repositories under recsys topic.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.
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.
RiVal recommender system evaluation toolkit
PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.
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
Tutorials and examples of various recommender systems in industrial applications
Repository for "VisRec: A Hands-on Tutorial on Deep Learning for Visual Recommender Systems" at ACM IUI 2021 conference
Recommender System framework for Julia
Packaged movie recommenders as REST API using tensorflow-recommenders
Our solution for Recsys Challenge 2017.
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
Experiments on Generalizability of User-Oriented Fairness in Recommender Systems (SIGIR 2022)
🏝 Сервис персонализированных предложений для сайта туроператора TUI
This is the repository of code and dataset for paper "The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News", SIGIR 2018
Fullstack recommender system project with Flask + React + PyTorch + Numpy
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"
A Collection of Public Recommender System Dataset
Customizable RecSys Simulator for OpenAI Gym
Using Machine Learning to predict and visualize user purchases using clickstream data gathered from an e-commerce site.
This is the repository for the Master of Science thesis titled "GAN-based Matrix Factorization for Recommender Systems".
Repository for EDM2021 paper - "Recommending Knowledge Concepts on MOOC Platforms with Meta-path-based Representation Learning"
Post Processing Explanations Paths in Path Reasoning Recommender Systems with Knowledge Graphs