Autor segons l'article: Solano-Barliza, Andres; Valls, Aida; Acosta-Coll, Melisa; Moreno, Antonio; Escorcia-Gutierrez, Jose; De-La-Hoz-Franco, Emiro; Arregoces-Julio, Isabel
Departament: Enginyeria Informàtica i Matemàtiques
Autor/s de la URV: Moreno Ribas, Antonio / Moreno Vicente, Antonio / Valls Mateu, Aïda
Paraules clau: Decision-making Emerging destinatio Emerging destination Graded logic Logic scoring of preferences Multi-criteria Recommender system Tourism
Resum: 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.
Àrees temàtiques: 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
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: aida.valls@urv.cat antonio.moreno@urv.cat
Identificador de l'autor: 0000-0003-3616-7809 0000-0003-3945-2314
Data d'alta del registre: 2024-12-07
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Referència a l'article segons font original: International Journal Of Computational Intelligence Systems. 17 (1): 283-
Referència 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 Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2024
Tipus de publicació: Journal Publications
Repositori URV