Deep learning and Internet of Things for tourist attraction recommendations in smart cities
Cita com:
hdl:2117/365733
Tipus de documentArticle
Data publicació2022-01-11
EditorSpringer Nature
Condicions d'accésAccés obert
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Reconeixement 4.0 Internacional
ProjecteEVOLUCION HACIA REDES Y SERVICIOS AUTO-GESTIONADOS PARA EL 5G DEL FUTURO (AEI-PID2019-108713RB-C51)
Abstract
We propose a tourist attraction IoT-enabled deep learning-based recommendation system to enhance tourist experience in a smart city. Travelers will enter details about their travels (traveling alone or with a companion, type of companion such as partner or family with kids, traveling for business or leisure, etc.) as well as user side information (age of the traveler/s, hobbies, etc.) into the smart city app/website. Our proposed deep learning-based recommendation system will process this personal set of input features to recommend the tourist activities/attractions that best fit his/her profile. Furthermore, when the tourists are in the smart city, content-based information (already visited attractions) and context-related information (location, weather, time of day, etc.) are obtained in real time using IoT devices; this information will allow our proposed deep learning-based tourist attraction recommendation system to suggest additional activities and/or attractions in real time. Our proposed multi-label deep learning classifier outperforms other models (decision tree, extra tree, k-nearest neighbor and random forest) and can successfully recommend tourist attractions for the first case [(a) searching for and planning activities before traveling] with the loss, accuracy, precision, recall and F1-score of 0.5%, 99.7%, 99.9%, 99.9% and 99.8%, respectively. It can also successfully recommend tourist attractions for the second case [(b) looking for activities within the smart city] with the loss, accuracy, precision, recall and F1-score of 3.7%, 99.5%, 99.8%, 99.7% and 99.8%, respectively.
Descripció
The version of record is available online at: http://dx.doi.org/10.1007/s00521-021-06872-0
CitacióCepeda, J.; Domingo, M. Deep learning and Internet of Things for tourist attraction recommendations in smart cities. "Neural computing and applications", 11 Gener 2022, vol. 34, p. 7691–7709.
ISSN1433-3058
Versió de l'editorhttps://link.springer.com/article/10.1007/s00521-021-06872-0
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