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dc.contributor.author | Sebastiá Tarín, Laura![]() |
es_ES |
dc.contributor.author | García García, Inmaculada![]() |
es_ES |
dc.contributor.author | Onaindia de la Rivaherrera, Eva![]() |
es_ES |
dc.contributor.author | Gúzman Álvarez, César Augusto![]() |
es_ES |
dc.date.accessioned | 2016-02-22T14:29:45Z | |
dc.date.available | 2016-02-22T14:29:45Z | |
dc.date.issued | 2009-10 | |
dc.identifier.issn | 0218-2130 | |
dc.identifier.uri | http://hdl.handle.net/10251/61076 | |
dc.description.abstract | e-Tourism is a tourist recommendation and planning application to assist users on the organization of a leisure and tourist agenda. First, a recommender system offers the user a list of the city places that are likely of interest to the user. This list takes into account the user demographic classification, the user likes in former trips and the preferences for the current visit. Second, a planning module schedules the list of recommended places according to their temporal characteristics as well as the user restrictions; that is the planning system determines how and when to realize the recommended activities. Having the list of recommended activities organized as an agenda (i.e. an executable plan), is a relevant characteristic that most recommender systems lack. | es_ES |
dc.description.sponsorship | This work has been partially funded by Consolider Ingenio 2010 CSD2007-00022 project, by the Spanish Government MICINN TIN2008-6701-C03-01 project and by the Valencian Government GVPRE/2008/384 project. We thank J. Benton for having provided us with the system Sapa to execute our experiments. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | World Scientific Publishing | es_ES |
dc.relation.ispartof | International Journal on Artificial Intelligence Tools | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Recommendation | es_ES |
dc.subject | AI planning | es_ES |
dc.subject | Tourism | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | e-Tourism: a tourist recommendation and planning application | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1142/S0218213009000378 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MEC//CSD2007-00022/ES/Agreement Technologies/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//GVPRE%2F2008%2F384/ES/SISTEMA RECOMENDADOR DE TURISMO EN LA CIUDAD DE VALENCIA VIA WEB | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//TIN2008-06701-C03-01/ES/PLANNING, EXECUTION AND LEARNING ARCHITECTURE/ | es_ES |
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.description.bibliographicCitation | Sebastiá Tarín, L.; García García, I.; Onaindia De La Rivaherrera, E.; Gúzman Álvarez, CA. (2009). e-Tourism: a tourist recommendation and planning application. International Journal on Artificial Intelligence Tools. 18(5):717-738. https://doi.org/10.1142/S0218213009000378 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1142/S0218213009000378 | es_ES |
dc.description.upvformatpinicio | 717 | es_ES |
dc.description.upvformatpfin | 738 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 18 | es_ES |
dc.description.issue | 5 | es_ES |
dc.relation.senia | 37290 | es_ES |
dc.identifier.eissn | 1793-6349 | |
dc.contributor.funder | Ministerio de Educación y Ciencia | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |
dc.contributor.funder | Generalitat Valenciana |