Research on the construction of an intelligent platform framework for rural tourism based on artificial intelligence and Internet of Things technology DOI Open Access
Lifang Jiao

Applied Mathematics and Nonlinear Sciences, Год журнала: 2024, Номер 9(1)

Опубликована: Янв. 1, 2024

Abstract People are more and inclined to obtain tourism-related information through the network, this trend brings new opportunities for development of rural tourism. And at same time, tourism is facing challenges. Based on situation, paper applies collaborative filtering algorithm based user background ant colony attraction attributes construction intelligent platform with help IoT technology AI complete design logic functional modules analyze platform. Under condition number neighbors, recommendation performance paper’s (average MAE: 0.8269) significantly better than that traditional method 0.8736), in off-season tourism, solves shortest paths Northeast Gate, East South Side Gate be 3748m, 3608m, 3627m, 3626m, it gives corresponding routing guidance. In addition, terms overall system, regardless MAE, coverage rate, or recall system performs compared control system. This study aims construct innovate an which will promote regional

Язык: Английский

Research on the construction of an intelligent platform framework for rural tourism based on artificial intelligence and Internet of Things technology DOI Open Access
Lifang Jiao

Applied Mathematics and Nonlinear Sciences, Год журнала: 2024, Номер 9(1)

Опубликована: Янв. 1, 2024

Abstract People are more and inclined to obtain tourism-related information through the network, this trend brings new opportunities for development of rural tourism. And at same time, tourism is facing challenges. Based on situation, paper applies collaborative filtering algorithm based user background ant colony attraction attributes construction intelligent platform with help IoT technology AI complete design logic functional modules analyze platform. Under condition number neighbors, recommendation performance paper’s (average MAE: 0.8269) significantly better than that traditional method 0.8736), in off-season tourism, solves shortest paths Northeast Gate, East South Side Gate be 3748m, 3608m, 3627m, 3626m, it gives corresponding routing guidance. In addition, terms overall system, regardless MAE, coverage rate, or recall system performs compared control system. This study aims construct innovate an which will promote regional

Язык: Английский

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