Implementation of a Bespoke, Collaborative-Filtering, Matrix-Factoring Recommender System Based on a Bernoulli Distribution Model for Webel

Domingo Benito, Martín Bosco (2021). Implementation of a Bespoke, Collaborative-Filtering, Matrix-Factoring Recommender System Based on a Bernoulli Distribution Model for Webel. Proyecto Fin de Carrera / Trabajo Fin de Grado, E.T.S.I. de Sistemas Informáticos (UPM), Madrid.

Description

Title: Implementation of a Bespoke, Collaborative-Filtering, Matrix-Factoring Recommender System Based on a Bernoulli Distribution Model for Webel
Author/s:
  • Domingo Benito, Martín Bosco
Contributor/s:
  • Lara Cabrera, Raúl
Item Type: Final Project
Degree: Grado en Ingeniería del Software
Date: May 2021
Subjects:
Freetext Keywords: Machine Learning, ML, Software Engineering
Faculty: E.T.S.I. de Sistemas Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (2MB) | Preview

Abstract

Brief background and implementation of a Bespoke Collaborative-Filtering Recommender System for Webel, based on a BeMF (Bernoulli Matrix Factorisation) Model.

More information

Item ID: 67718
DC Identifier: https://oa.upm.es/67718/
OAI Identifier: oai:oa.upm.es:67718
Deposited by: Bosco Domingo
Deposited on: 14 Jul 2021 07:03
Last Modified: 14 Jul 2021 07:03
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM