Artificial Intelligence Algorithms in Ice and Snow Tourism Promotion from Digital Technology

Abstract

The present work is aimed at using the artificial intelligence (AI) algorithm to study the promotion and publicity of ice and snow tourism (IST). Firstly, the urgent needs of IST external publicity are analyzed based on digital technology. Besides, the dynamic vision sensor technology is used to collect data in the distributed Internet of Things structure of the IST publicity system. Then, the AlexNet algorithm is combined with the digital logic method. The research assumption is that the complete IST image based on AI can be formed according to the AlexNet algorithm. The improved AlexNet algorithm and Chi-square test implement the IST poster emotion recognition and IST publicity model. Then, the intelligent customer service of the IST publicity platform is studied. The results demonstrate that after 120 iterations, the accuracy of the sports-oriented publicity method based on AlexNet can reach about 75%. In addition, the accuracy of the recommended IST publicity algorithm based on AlexNet is close to 90% after 80 iterations. Therefore, the model’s accuracy is improved by at least 9.6% compared with the traditional method. The research has practical application value for the digital and intelligent development of the IST industry.

Data Sources as a Driver for Market-Oriented Tourism Organizations: a Bibliometric Perspective

“…• Business insights: The most important areas of business applications are identified. We obtain a wide range of business applications, among which we can highlight: customer satisfaction (Padma & Ahn, 2020), tourism promotion (Wu et al, 2022), sustainable tourism (Nilashi et al, 2019), or tourism destination (Rashad, 2022). The evolution of the areas from one period to the next is shown.…”