📚 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 and works with PyTorch.

Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

LensKit recommender toolkit.

Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).

Compilation of high-profile real-world examples of failed machine learning projects

A collection of resources for Recommender Systems (RecSys)

Recommendation System using ML and DL

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

⚠️ [ARCHIVED] This version has been archived as of october 2024 and will not be updated anymore, please refer to the README for a link to the new version. This is the official repository for the Recommender Systems course at Politecnico di Milano.

🛍 A real-world e-commerce dataset for session-based recommender systems research.

RecTools - library to build Recommendation Systems easier and faster than ever before

A general purpose recommender metrics library for fair evaluation.

A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models

Python recommendation toolkit

Merlin Models is a collection of deep learning recommender system model reference implementations

Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow

[IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library

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-…

RiVal recommender system evaluation toolkit