2020
DOI: 10.1371/journal.pone.0240656
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Applying Internet information technology combined with deep learning to tourism collaborative recommendation system

Abstract: Recently, more personalized travel methods have emerged in the tourism industry, such as individual travel and self-guided travel. The service models of traditional tourism limit the diversity of service options and cannot fully meet the individual needs of tourists anymore. The aim is to integrate sparse tourism information on the Internet, thereby providing more convenient, faster, and more personalized tourism services. Based on the shortcomings of the traditional tourism recommendation system, a deep learn… Show more

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Cited by 30 publications
(24 citation statements)
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“…It is evident that G1 and G2 are excellent, while G3 is good. The culture inheritance and protection index has the highest weight value to the social benefit of the target layer, indicating that the construction of the culture–tourism town is conducive to carrying forward the traditional culture and the harmonious development of the society (Hossain and Muhammad, 2019 ; Wang, 2020 ). A fine ecological environment is a necessary condition for a culture–tourism town to satisfy tourists' viewing and behavioral psychological demands.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…It is evident that G1 and G2 are excellent, while G3 is good. The culture inheritance and protection index has the highest weight value to the social benefit of the target layer, indicating that the construction of the culture–tourism town is conducive to carrying forward the traditional culture and the harmonious development of the society (Hossain and Muhammad, 2019 ; Wang, 2020 ). A fine ecological environment is a necessary condition for a culture–tourism town to satisfy tourists' viewing and behavioral psychological demands.…”
Section: Discussionmentioning
confidence: 99%
“…Step 4: First-level fuzzy comprehensive evaluation. In this study, the single-level evaluation method (Wang, 2020 ) is used to obtain the membership matrix of each evaluation index, which can be as follows.…”
Section: Methodsmentioning
confidence: 99%
“…En estos análisis de tiempos, se emplean redes convolucionales con datos geográficos para la captura de correlaciones espaciales incluyendo aspectos como las maniobras de conducción; por otro lado, se emplean redes neuronales recurrentes LSTM para dependencias temporales de características obtenidas de mapas y factores externos como las condiciones climáticas, hábitos del conductor, día de la semana (Wang et al, 2018). En el reconocimiento de recursos turísticos se han desarrollado diferentes avances tecnológicos empleando dispositivos móviles, por ejemplo, el desarrollo de aplicaciones con guías turísticas interactivas empleando reconocimiento de imágenes y texto (M. Wang, 2020). En establecimientos turísticos como hoteles y restaurantes se emplean aplicaciones para la gestión y organización de reservas, ocupación e ingresos, la recopilación de estos datos permite hacer investigaciones de demanda y tendencias turísticas.…”
Section: Los Investigadoresunclassified
“…It can extract the complex relationship among data from multi-source information and more accurately express user preferences. A recommendation system based on deep learning has attracted much attention in recent years (Wang, 2020). Unger et al (2016) used unsupervised deep learning technology and principal component analysis (PCA) technology to automatically learn the user's potential context data collected from the user's mobile phone.…”
Section: Introductionmentioning
confidence: 99%