Collaborative filtering generates recommendations by exploiting user-item similarities based on rating data, which often contains numerous unrated items. To predict scores for unrated items, matrix ...

Matrix completion is the task of filling in the missing entries of a partially observed matrix. We consider the example of the movie ratings matrix that was a part of the Netflix problem in this work.

ABSTRACT: In this paper is demonstrated a method for reduction of integer factorization problem to an analysis of a sequence of modular elliptic equations. As a result, the paper provides a ...

Abstract: The semi-supervised non-negative matrix factorization (NMF) methods have demonstrated their powerful capabilities in fields such as data representation, image clustering, and recommendation ...

This repository contains a gentle introduction to nonnegative matrix factorization (NMF). It gives an overview of the method's technical details, the most common numerical algorithms for solving the ...