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Tourism cloud management system: the impact of smart tourism
This study investigates the possibility of supporting tourists in a foreign land intelligently by using the Tourism Cloud Management System (TCMS) to...
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Digital twins, big data governance, and sustainable tourism
The rapid adoption of digital technologies has revolutionized business operations and introduced emerging concepts such as Digital Twin (DT)...
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FdAI: Demand Forecast Model for Medical Tourism in India
Forecasting is involved in the estimation of statements about particular events concerned those are uncertain events or computation of future. The...
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An intelligent information recommender system (IIRS) for next generation sustainable social tourism industry
The travel industry's contribution to sustainable development is noteworthy, since it offers travel experiences that are mutually beneficial to both...
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Virtual reality technologies for training tourism company managers: A case study of the ATLAS platform
The study investigates the impact of virtual reality technologies on the training of managers in the tourism industry using the ATLAS platform. A...
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Student-Led Live Broadcast Tour: An Elevated Learning Journey for Tourism Students
Drawing upon the concept of student-led live broadcasting tour (LBT), this study aims to construct and empirically test the Input-Process-Output...
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Development of a smart tourism service system based on the Internet of Things and machine learning
While traveling, people need to utilize smart tourism service systems based on the Internet of Things (IoT) to enhance their journeys’ convenience....
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Recommender Systems for Outdoor Adventure Tourism Sports: Hiking, Running and Climbing
Adventure tourism is a popular and growing segment within the tourism industry that involves, but is not limited to, hiking, running, and climbing...
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Measuring sustainable tourism with online platform data
Sustainability in tourism is a topic of global relevance, finding multiple mentions in the United Nations Sustainable Development Goals. The complex...
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Older adults’ user experience of virtual tourism: exploring presence and experiential value with respect to age difference
Virtual tourism or VR tourism has attracted great attention for its ability to simulate real-world experiences at a much lower cost and safer than...
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Does geography matter? Implications for future tourism research in light of COVID-19
Due to the 2019 new coronavirus disease (COVID-19) pandemic, tourism is undergoing fundamental changes that are affecting tourism research. This...
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Multimodal model for the Spanish sentiment analysis in a tourism domain
The problem of sentiment analysis of tourism data focuses on the analysis of the multimodal characteristics of the data generated digitally by...
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Interpretable tourism demand forecasting with temporal fusion transformers amid COVID-19
An innovative ADE-TFT interpretable tourism demand forecasting model was proposed to address the issue of the insufficient interpretability of...
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TPEDTR: temporal preference embedding-based deep tourism recommendation with card transaction data
Recently, the recommender system has been raised as one of the essential research topics in smart tourism. The massive card transaction data...
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Interpretable tourism volume forecasting with multivariate time series under the impact of COVID-19
This study proposes a novel interpretable framework to forecast the daily tourism volume of Jiuzhaigou Valley, Huangshan Mountain, and Siguniang...
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A Scientometric Analysis of Virtual Tourism Technology Use in the Tourism Industry
The study aims to analyze the characteristics of virtual tourism technology in the tourism industry over the past ten years. The development of... -
Investigating the impact of virtual tourism on travel intention during the post-COVID-19 era: evidence from China
This study explores the mechanism that contributes to travel intention in the field of virtual tourism. The overall research method is based on the...
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RETRACTED ARTICLE: Artificial intelligence assisted cyber threat assessment and applications for the tourism industry
Today, artificial intelligence (AI) can be found in nearly every aspect of travel and tourism, from personalization and recommendation systems to...
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Group recommender systems for tourism: how does personality predict preferences for attractions, travel motivations, preferences and concerns?
To travel in leisure is an emotional experience, and therefore, the more the information about the tourist is known, the more the personalized...
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Classroom teaching of tourism management using multimedia big data analysis
In order to improve the effectiveness of tourism management classroom teaching, this article intelligentizes the teaching process of tourism...