GitHub

Ultra‑Sparse Matrix Factorization Recommender System

This repository explores how well a Biased Latent Matrix Factorization (BLMF) recommender system performs when trained on extremely sparse rating matrices, using a reduced sample of the MovieLens 32M ...
IEEE

Sparse Matrix Factorization Using Diagonal Pivoting for Power Distribution Network Applications

Abstract: Power distribution network (PDN) applications are real-time applications with complex data represented by sparse matrices that, depending on the application, may be positive definite or ...
IEEE

Sparse Matrix Factorization Algorithm for Real-Time Movie Recommendation Systems

Abstract: Real-time movie recommendation systems must efficiently handle large amounts of sparse user-item interaction data while maintaining great prediction accuracy. Conventional collaborative ...
Nature

Sparse matrix factorization robust to sample sharing across GWASs reveals interpretable genetic components

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...
University of Waterloo

Robust Extraction of Basis Functions for Simultaneous and Proportional Myoelectric Control via Sparse Non-negative Matrix Factorization

Title Robust Extraction of Basis Functions for Simultaneous and Proportional Myoelectric Control via Sparse Non-negative Matrix Factorization ...