2022
DOI: 10.1155/2022/4021706
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Digital Transformation of Tourism Industry and Smart Tourism Recommendation Algorithm Based on 5G Background

Abstract: As a hot issue of current research, tourism information service has higher and higher requirements for intelligent construction. Tourism service recommendation is the embodiment of smart tourism. However, there are still obvious deficiencies in solving the problem of Internet information load and improving user experience. Through functional analysis, architecture design, selection of relevant development frameworks, and improvement of collaborative filtering algorithms, a stable, reliable, high-performance, m… Show more

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Cited by 3 publications
(2 citation statements)
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“…This further extends the innovativeness of market subjects and the flexibility of tourism factor allocation, and achieves the optimization of tourism factor allocation and efficiency. For example, the intelligent tourism recommendation system can recommend tourism-related information to market players in a targeted manner [ 48 ].…”
Section: Theoretical Explanation and Research Hypothesismentioning
confidence: 99%
“…This further extends the innovativeness of market subjects and the flexibility of tourism factor allocation, and achieves the optimization of tourism factor allocation and efficiency. For example, the intelligent tourism recommendation system can recommend tourism-related information to market players in a targeted manner [ 48 ].…”
Section: Theoretical Explanation and Research Hypothesismentioning
confidence: 99%
“…This ensures that city managers can make management decisions when tourism capacity is exceeded and overtourism occurs in the current context of big data [10]. Xia pointed out the obvious deficiencies in internet information loading and user experience, and improved collaborative filtering algorithms based on tourist data to develop a stable intelligent travel recommendation system that aims to recommend travel-related information to users in a targeted manner, improving the user experience [11].…”
Section: Information Technology For Smart Tourismmentioning
confidence: 99%