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Generating context-aware recommendations using banking data in a mobile recommender system
Cita
Gallego Vico, Daniel, Huecas Fernández-Toribio, Gabriel 
ORCID: https://orcid.org/0000-0001-5673-9312 and Salvachúa Rodríguez, Joaquín ORCID: https://orcid.org/0000-0002-7269-8079
(2012).
Generating context-aware recommendations using banking data in a mobile recommender system.
En: "Proceedings of the 6th International Conference on Digital Society", 30/01/2012 - 04/02/2012, Valencia, Spain. ISBN 978-1-61208-176-2. pp. 73-78.
ORCID: https://orcid.org/0000-0001-5673-9312 and Salvachúa Rodríguez, Joaquín ORCID: https://orcid.org/0000-0002-7269-8079
(2012).
Generating context-aware recommendations using banking data in a mobile recommender system.
En: "Proceedings of the 6th International Conference on Digital Society", 30/01/2012 - 04/02/2012, Valencia, Spain. ISBN 978-1-61208-176-2. pp. 73-78.
Descripción
| Título: | Generating context-aware recommendations using banking data in a mobile recommender system |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | Proceedings of the 6th International Conference on Digital Society |
| Fechas del Evento: | 30/01/2012 - 04/02/2012 |
| Lugar del Evento: | Valencia, Spain |
| Título del Libro: | Proceedings of the 6th International Conference on Digital Society |
| Fecha: | 2012 |
| ISBN: | 978-1-61208-176-2 |
| Materias: | |
| ODS: | |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Ingeniería de Sistemas Telemáticos |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
The increasing adoption of smartphones by the society has created a new area of research in recommender systems. This new domain is based on using location and context-awareness to provide personalization. This paper describes a model to generate context-aware recommendations for mobile recommender systems using banking data in order to recommend places where the bank customers have previously spent their money. In this work we have used real data provided by a well know Spanish bank. The mobile prototype deployed in the bank Labs environment was evaluated in a survey among 100 users with good results regarding usefulness and effectiveness. The results also showed that test users had a high confidence in a recommender system based on real banking data.
Más información
| ID de Registro: | 19163 |
|---|---|
| Identificador DC: | https://oa.upm.es/19163/ |
| Identificador OAI: | oai:oa.upm.es:19163 |
| URL Oficial: | http://www.thinkmind.org/index.php?view=article&ar... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 09 Sep 2013 19:07 |
| Ultima Modificación: | 01 Abr 2023 08:29 |
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