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Providing reliability in Recommender Systems through Bernoulli Matrix Factorization

5 June 2020

Fernando Ortega

R. Lara-Cabrera

Ángel González-Prieto

Jesús Bobadilla

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Papers citing "Providing reliability in Recommender Systems through Bernoulli Matrix Factorization"

6 / 6 papers shown

Conv4Rec: A 1-by-1 Convolutional AutoEncoder for User Profiling through Joint Analysis of Implicit and Explicit FeedbacksIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025

272

09 Sep 2025

Incorporating Recklessness to Collaborative Filtering based Recommender SystemsInformation Sciences (Inf. Sci.), 2023

Diego Pérez-López

Fernando Ortega

Ángel González-Prieto

Jorge Duenas-Lerín

188

03 Aug 2023

Restricted Bernoulli Matrix Factorization: Balancing the trade-off between prediction accuracy and coverage in classification based collaborative filtering

Ángel González-Prieto

Abraham Gutiérrez

Fernando Ortega

R. Lara-Cabrera

234

05 Oct 2022

A majorization-minimization algorithm for nonnegative binary matrix factorizationIEEE Signal Processing Letters (SPL), 2022

P. Magron

Cédric Févotte

312

20 Apr 2022

Deep Variational Models for Collaborative Filtering-based Recommender Systems

Jesús Bobadilla

Fernando Ortega

Abraham Gutiérrez

Ángel González-Prieto

DRL

272

27 Jul 2021

Deep Learning feature selection to unhide demographic recommender systems factors

Jesús Bobadilla

Ángel González-Prieto

Fernando Ortega

R. Lara-Cabrera

169

17 Jun 2020