Application of artificial intelligence techniques for the profiling of visitors to tourist destinations

Tourism in Peru represents an opportunity for local development; however, there is limited understanding of visitor profiles. The aim of this study was to characterize tourists using machine learning techniques in order to identify distinct segments that can inform planning and promotional strategie...

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Veröffentlicht in:	Frontiers in artificial intelligence Jg. 8; S. 1632415
Hauptverfasser:	Schrader, Juan, Pinedo, Lloy, Vargas, Franz, Martell, Karla, Seijas-Díaz, José, Rengifo-Amasifen, Roger, Cueto-Orbe, Rosa, Torres-Silva, Cinthya
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Media S.A 04.08.2025
Schlagworte:	Agglomerative Clustering Artificial Intelligence clustering DBSCAN segmentation tourists Agglomerative Clustering HDBSCAN K-means DBSCAN segmentation clustering tourists artificial intelligence
ISSN:	2624-8212, 2624-8212
Online-Zugang:	Volltext
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