Projects in Awesome Lists tagged with implicit-feedback

https://github.com/etlundquist/rankfm

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

collaborative-filtering factorization-machines implicit-feedback learning-to-rank machine-learning recommendation recommender-system

Last synced: 13 Jul 2025

https://github.com/gasevi/pyreclab

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.

alternating-least-squares implicit-feedback knn rating rating-prediction recommendation-algorithm svd

Last synced: 15 Mar 2025

https://github.com/david-cortes/hpfrec

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

implicit-feedback poisson-factorization

Last synced: 07 May 2025

https://github.com/david-cortes/poismf

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

implicit-feedback poisson-factorization

Last synced: 26 Oct 2025

https://github.com/jbochi/facts

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

implicit implicit-feedback matrix-factorization recommender-system

Last synced: 11 Apr 2025

https://github.com/david-cortes/recometrics

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

implicit-feedback matrix-factorization recommender-systems

Last synced: 08 May 2025

https://github.com/hand10ryo/PyTorchCML

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

collaborative-filtering implicit-feedback machine-learning metric-learning python pytorch recommender-system

Last synced: 29 Apr 2025

https://github.com/hand10ryo/pytorchcml

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

collaborative-filtering implicit-feedback machine-learning metric-learning python pytorch recommender-system

Last synced: 12 Apr 2025

https://github.com/usaito/unbiased-pairwise-rec

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

bayesian-personalized-ranking implicit-feedback recommender-system research

Last synced: 22 Jan 2026

https://github.com/dselivanov/bench-wrmf

Benchmarking different implementations of weighted-ALS matrix factorization

benchmark implicit-feedback recommender-system

Last synced: 14 Apr 2025

https://github.com/somjit101/netflix-movie-recommendation

A case study of the Netflix Prize solution where, given anonymous data of users and the ratings given to movies, the objective to provide recommendations to users for movies which they would like, based on their past activity and taste.

boosting-algorithms implicit-feedback machine-learning matrix-factorization movie-recommendation netflix netflix-prize recommendation-engine recommendation-system regression-models surprise-library svd svd-factorization svd-matrix-factorisation svdpp xgboost xgboost-regression

Last synced: 27 Jul 2025

https://github.com/matteofasulo/netflix-audience-behaviour

This project is a recommendation system built with implicit ALS algorithm using Netflix UK's watch history data. It provides personalized movie recommendations and exposes a FastAPI API route for easy integration.

data-science fastapi implicit-feedback jinja2 machine-learning movie-recommendation netflix python recommendation-system tmdb-api uvicorn

Last synced: 13 Mar 2025

https://github.com/artdgn/ml-recsys-tools

Tools for development of recommendation systems in Python.

implicit-feedback lightfm-library machine-learning matrix-factorization python recommender-systems

Last synced: 14 Jan 2026

https://github.com/smakde/learning-resource-recommender

A lightweight recommender that helps you discover your next learning resource. It blends patterns from similar users with content keywords, and explains each suggestion in the UI.

als content-based-filtering evaluation-metrics explainable-ai hybrid-recommender implicit-feedback implicit-lib lightfm logistic-matrix-factorization mapk matrix-factorization ndcg pandas precision-at-k python recommender-system scikit-learn streamlit tf-idf top-n-recommendations