IEEE

Onto Proximality in Non Negative Matrix Factorization for Recommender Systems

Abstract: Recommender Systems have become integral to most e-commerce applications and online platforms. The recommended suggestions heavily impact customer retention and business performance. One of ...
IEEE

Low-Rank and Relaxed-Nonnegative Attack on Nonnegative Matrix Factorization

Abstract: Unsupervised learning provides efficient analytical tools for data-centric Internet of Things (IoT) applications. nonnegative matrix factorization (NMF) is a fundamental tool in unsupervised ...
Frontiers

Interleaving cortex-analog mixing improves deep non-negative matrix factorization networks

1 Institute for Theoretical Physics, University of Bremen, Bremen, Germany 2 Institute of Electrodynamics and Microelectronics (ITEM.ids), University of Bremen, Bremen, Germany Considering biological ...