Autor según el artículo: Solano-Barliza, Andres; Valls, Aida; Acosta-Coll, Melisa; Moreno, Antonio; Escorcia-Gutierrez, Jose; De-La-Hoz-Franco, Emiro; Arregoces-Julio, Isabel
Departamento: Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: Moreno Ribas, Antonio / Moreno Vicente, Antonio / Valls Mateu, Aïda
Palabras clave: Decision-making Emerging destinatio Emerging destination Graded logic Logic scoring of preferences Multi-criteria Recommender system Tourism
Resumen: This study addresses the problem of recommending restaurants in emerging tourist destinations, taking into account factors vital in these locations, such as location, safety, price and services. The novel recommendation model is based on the well-known logical scoring of preferences (LSP) methodology. The system considers individual preferences across a hierarchy of criteria. The user can customize the recommender by providing suitability scores and aggregation operators for each criterion. The first contribution is the identification of relevant criteria for the selection of restaurants in emerging destinations and the definition of a new scoring system to manage user preferences regarding types of food. The second contribution of this study is the selection of appropriate conjunctive/disjunctive aggregation operators. The recommender system has been tested in a use case in Riohacha (Colombia), obtaining promising results in a wide range of user profiles.
Áreas temáticas: Ciência da computação Computational mathematics Computer science (all) Computer science (miscellaneous) Computer science, artificial intelligence Computer science, interdisciplinary applications Engenharias iv General computer science Interdisciplinar
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: aida.valls@urv.cat antonio.moreno@urv.cat
Identificador del autor: 0000-0003-3616-7809 0000-0003-3945-2314
Fecha de alta del registro: 2024-12-07
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Referencia al articulo segun fuente origial: International Journal Of Computational Intelligence Systems. 17 (1): 283-
Referencia de l'ítem segons les normes APA: Solano-Barliza, Andres; Valls, Aida; Acosta-Coll, Melisa; Moreno, Antonio; Escorcia-Gutierrez, Jose; De-La-Hoz-Franco, Emiro; Arregoces-Julio, Isabel (2024). Enhancing Fair Tourism Opportunities in Emerging Destinations by Means of Multi-criteria Recommender Systems: The Case of Restaurants in Riohacha, Colombia. International Journal Of Computational Intelligence Systems, 17(1), 283-. DOI: 10.1007/s44196-024-00700-8
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2024
Tipo de publicación: Journal Publications
Repositori URV