Text Refinement Powered by Artificial Intelligence for Tourism

Rai, Prakhyath; Rai, Shamanth

doi:10.1007/s11277-021-08510-3

Cited by 2 publications

(2 citation statements)

References 24 publications

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“…All kinds of things and factors that can attract people's activities, can be developed and utilized for tourism, and can produce economic, social, and environmental benefits are the theoretical basis of this paper [18]. Rai et al proposed that the rapid development of the spatial distribution characteristics of tourist hotels and the consumption demand of tourism configuration for information make tourism informatization and information application the trend and inevitable choice of the development of tourism industry [19]. Li et al put forward that the research on tourism resources mainly has the following characteristics:…”

Section: Related Workmentioning

confidence: 99%

Analysis on Spatial Distribution Characteristics and Configuration of Tourist Hotels Based on Artificial Intelligence Technology

Chen

Wang

2022

Wireless Communications and Mobile Computing

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As one of the three pillar industries of tourism, the hotel industry has developed rapidly in recent years, especially the construction and development of urban star hotels. The major star hotel brands have poured in one after another, and a large amount of funds have been invested in the star hotel market. The continuous construction of various types of star hotels has formed the geographical agglomeration phenomenon of star hotels in Chinese cities. This phenomenon has not only brought the advantages of regional economies of scale and brand building, but also brought the competition between star hotels. Under the guidance of market demand, tourism can be created through industrial integration and functional combination to develop the tourism industry, which makes the spatial distribution of tourism hotels closely related to transportation, consumer demand, urban environment, and even industrial policy. In recent years, artificial intelligence methods are more and more applied to tourism, mainly including rough set method, genetic algorithm, fuzzy time series, grey theory, artificial neural network, and support vector machine. Based on artificial intelligence technology, this paper studies the spatial distribution characteristics and configuration of tourism hotels. The distance of the peak value of tourism hotel spatial distribution characteristics is 4.8 km and 6.6 km, respectively, and the distance of the peak value of natural tourism resources is 0.98 km. Because the spatial distribution characteristics of cultural, special, and tourism hotels are restricted by their own quantity, resource endowment, and inherent attributes, the spatial scope of location layout is relatively small. The spatial distribution characteristics and configuration of tourist hotels can also timely monitor and prevent various emergencies, prevent tourism safety accidents, and improve the ability of tourism emergency management by using artificial intelligence and other technologies. With the continuous optimization of artificial intelligence technology and the deepening of cooperation between tourism disciplines and interdisciplinary, the research on tourism big data driven by research problems will be more mature.

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Section: Related Workmentioning

confidence: 99%

Analysis on Spatial Distribution Characteristics and Configuration of Tourist Hotels Based on Artificial Intelligence Technology

Chen

Wang

2022

Wireless Communications and Mobile Computing

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“…Los turistas tienen la necesidad de adquirir conocimiento acerca de los lugares del destino al cual desean visitar, para lo cual se propone obtener información a través de páginas web que permitan conocer los sitios turísticos considerando las preferencias del usuario [9]. Además, es relevante considerar la inquietud del turista sobre las medidas sanitarias que se adoptan en el servicio de hospedaje.…”

Section: Introductionunclassified

Digitization and Tourist Intelligence: an option to improve the profitability of the Chimbote hotel industry, 2022

Espinoza Rodriguez,

Lam Flores,

Alvarez Silva

et al. 2023

Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leaders

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Many businesses linked to the hotel industry have had serious difficulties to reactivate due to the health and economic situation that has been experienced since 2020 by COVID-19, seeing their profitability affected, compared to 2019. However, the Companies that have implemented digitization and tourism intelligence have been able to increase their sales in times of pandemic. However, the traditional hotel industry that has not been able to access these technologies has been relegated in its economic activities. In this sense, the objective was to determine the incidence of digitization and tourism intelligence as an option to improve the profitability of the Chimbote hotel industry, 2022. For this purpose, the study had a non-experimental, cross-sectional, and correlational design. The technique was the survey and the questionnaire was applied to a population and sensible sample of 11 hotels. The results indicate high levels in both variables, however there are several aspects to improve. Concluding that there is a highly significant relationship between digitization and tourism intelligence and profitability. Therefore, in the causal relationship found, it is envisioned that if digitization and tourist intelligence are implemented in a higher percentage, it would be an option to improve the profitability of the hotel industry, due to the benefits it brings.

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Text Refinement Powered by Artificial Intelligence for Tourism

Cited by 2 publications

References 24 publications

Analysis on Spatial Distribution Characteristics and Configuration of Tourist Hotels Based on Artificial Intelligence Technology

Analysis on Spatial Distribution Characteristics and Configuration of Tourist Hotels Based on Artificial Intelligence Technology

Digitization and Tourist Intelligence: an option to improve the profitability of the Chimbote hotel industry, 2022

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