Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, IA Lab and SocVis Lab.

Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.

(Python, R, C) Poisson matrix factorization (non-Bayesian version) (recommender systems)

A Pytorch Recommendation Framework with Implicit Feedback.

Matrix Factorization based recsys in Golang. Because facts are more important than ever

A recommender engine built for a Bay Area online dating website to maximize the successful matches by introducing hybrid recommender system and reverse match technique.

(WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"

(Python, R, C++) Library-agnostic evaluation framework for implicit-feedback recommender systems

(WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"

PyTorchCML is a library of PyTorch implementations of matrix factorization (MF) and collaborative metric learning (CML), algorithms used in recommendation systems and data mining.

(ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"

GitHub Mirror of RecPack: Experimentation Toolkit for Top-N Recommendation (see https://gitlab.com/recpack-maintainers/recpack)

Source code for Self-Guided Learning to Denoise for Robust Recommendation. SIGIR 2022.

This is the repository for the Master of Science thesis titled "GAN-based Matrix Factorization for Recommender Systems".

A hybrid recommender system for suggesting CDN (content delivery network) providers to various websites

A set of matrix factorization techniques to provide recommendations for implicit feedback datasets.

Recommender System toolkit

Recommender system weighted regularized matrix factorization in python

Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation, SIGIR 2021