Research on the construction of an intelligent platform framework for rural tourism based on artificial intelligence and Internet of Things technology

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