https://orcid.org/0000-0002-7959-1936Full text
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (2MB) | Preview |
Implementation of a Bespoke, Collaborative-Filtering, Matrix-Factoring Recommender System Based on a Bernoulli Distribution Model for Webel
Citation
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: |
|
| Contributor/s: |
|
| 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 |
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 |
