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Bargaining agents based system for automatic classification of potential allergens in recipes

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Bargaining agents based system for automatic classification of potential allergens in recipes

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dc.contributor.author Alemany-Bordera, José es_ES
dc.contributor.author Heras Barberá, Stella María es_ES
dc.contributor.author Palanca Cámara, Javier es_ES
dc.contributor.author Julian Inglada, Vicente Javier es_ES
dc.date.accessioned 2017-05-26T12:18:54Z
dc.date.available 2017-05-26T12:18:54Z
dc.date.issued 2016
dc.identifier.issn 2255-2863
dc.identifier.uri http://hdl.handle.net/10251/81837
dc.description.abstract [EN] The automatic recipe recommendation which take into account the dietary restrictions of users (such as allergies or intolerances) is a complex and open problem. Some of the limitations of the problem is the lack of food databases correctly labeled with its potential allergens and non-unification of this information by companies in the food sector. In the absence of an appropriate solution, people affected by food restrictions cannot use recommender systems, because this recommend them inappropriate recipes. In order to resolve this situation, in this article we propose a solution based on a collaborative multi-agent system, using negotiation and machine learning techniques, is able to detect and label potential allergens in recipes. The proposed system is being employed in receteame.com, a recipe recommendation system which includes persuasive technologies, which are interactive technologies aimed at changing users’ attitudes or behaviors through persuasion and social influence, and social information to improve the recommendations es_ES
dc.description.sponsorship This work was supported by the projects TIN2015-65515-C4-1-R and TIN2014-55206-R of the Spanish government and by the grant program for the recruitment of doctors for the Spanish system of science and technology (PAID-10-14) of the Universitat Politecnica de Valencia.
dc.language Inglés es_ES
dc.publisher Ediciones Universidad de Salamanca es_ES
dc.relation.ispartof ADCAIJ : Advances in Distributed Computing and Artificial Intelligence Journal es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Recommendation system es_ES
dc.subject Food allergy es_ES
dc.subject Multi-agent system es_ES
dc.subject.classification BIBLIOTECONOMIA Y DOCUMENTACION es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Bargaining agents based system for automatic classification of potential allergens in recipes es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.14201/ADCAIJ2016524351 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2015-65515-C4-1-R/ES/ARQUITECTURA PERSUASIVA PARA EL USO SOSTENIBLE E INTELIGENTE DE VEHICULOS EN FLOTAS URBANAS/
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-10-14/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2014-55206-R/ES/PRIVACIDAD EN ENTORNOS SOCIALES EDUCATIVOS DURANTE LA INFANCIA Y LA ADOLESCENCIA/
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation Alemany-Bordera, J.; Heras Barberá, SM.; Palanca Cámara, J.; Julian Inglada, VJ. (2016). Bargaining agents based system for automatic classification of potential allergens in recipes. ADCAIJ : Advances in Distributed Computing and Artificial Intelligence Journal. 5(2):43-51. https://doi.org/10.14201/ADCAIJ2016524351 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://dx.doi.org/10.14201/ADCAIJ2016524351 es_ES
dc.description.upvformatpinicio 43 es_ES
dc.description.upvformatpfin 51 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 5 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 329458 es_ES
dc.contributor.funder Universitat Politècnica de València
dc.contributor.funder Ministerio de Economía y Competitividad


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