Ir al contenido (pulsa Retorno)

Universitat Politècnica de Catalunya

    • Català
    • Castellano
    • English
    • LoginRegisterLog in (no UPC users)
  • mailContact Us
  • world English 
    • Català
    • Castellano
    • English
  • userLogin   
      LoginRegisterLog in (no UPC users)

UPCommons. Global access to UPC knowledge

57.066 UPC E-Prints
You are here:
View Item 
  •   DSpace Home
  • E-prints
  • Departaments
  • Departament de Ciències de la Computació
  • Articles de revista
  • View Item
  •   DSpace Home
  • E-prints
  • Departaments
  • Departament de Ciències de la Computació
  • Articles de revista
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Combining data-driven and domain knowledge components in an intelligent assistant to build personalized menus

Thumbnail
View/Open
Postprint-Sànchez-Marrè-etal-LNCS-2019.pdf (1,022Mb)
Share:
 
 
10.1007/978-3-030-19651-6_17
 
  View Usage Statistics
Cita com:
hdl:2117/189154

Show full item record
Sànchez-Marrè, MiquelMés informacióMés informacióMés informació
Gibert, KarinaMés informacióMés informacióMés informació
Sevilla-Villanueva, BeatrizMés informació
Document typeArticle
Defense date2019
PublisherSpringer
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
ProjectUN RECOMENDADOR INTELIGENTE DE DIETAS PERSONALIZADAS DESDE LA OBSERVACION INTEGRADA DE LAS CARACTERISTICAS, HABITOS Y CONDICIONES DE LAS PERSONAS (MINECO-TIN2014-60557-R)
Abstract
In this paper, some new components that have been integrated in the Diet4You system for the generation of nutritional plans are introduced. Negative user preferences have been modelled and introduced in the system. Furthermore, the cultural eating styles originated from the location where the user lives have been taken into account dividing the original menu plan in sub-plans. Each sub-plan is in charge to optimize one of the meals of one day in the personal menu of the user. The main latent reasoning mechanism used is case-based reasoning, which reuses previous menu configurations according to the nutritional plan and the corresponding hard constraints and the user preferences to meet a personalized recommendation menu for a given user. It uses the cognitive analogical reasoning technique in addition to ontologies, nutritional databases and expert knowledge. The preliminary results with some examples of application to test the new contextual components have been very satisfactory according to the evaluation of the experts.
CitationSànchez-Marrè, M.; Gibert, K.; Sevilla-Villanueva, B. Combining data-driven and domain knowledge components in an intelligent assistant to build personalized menus. "Lecture notes in computer science", 2019, vol. 11487, p. 167-179. 
URIhttp://hdl.handle.net/2117/189154
DOI10.1007/978-3-030-19651-6_17
ISSN0302-9743
Publisher versionhttps://link.springer.com/chapter/10.1007%2F978-3-030-19651-6_17
Collections
  • Departament de Ciències de la Computació - Articles de revista [909]
  • KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic - Articles de revista [109]
  • Departament d'Estadística i Investigació Operativa - Articles de revista [604]
Share:
 
  View Usage Statistics

Show full item record

FilesDescriptionSizeFormatView
Postprint-Sànchez-Marrè-etal-LNCS-2019.pdf1,022MbPDFView/Open

Browse

This CollectionBy Issue DateAuthorsOther contributionsTitlesSubjectsThis repositoryCommunities & CollectionsBy Issue DateAuthorsOther contributionsTitlesSubjects

© UPC Obrir en finestra nova . Servei de Biblioteques, Publicacions i Arxius

info.biblioteques@upc.edu

  • About This Repository
  • Contact Us
  • Send Feedback
  • Inici de la pàgina