Application Analysis of Artificial Intelligence and Network Security in Intelligent Tourist Attraction Recommendation Systems

This article aims to study how to use artificial intelligence to carry out smart tourism, use more advanced technologies, use network security algorithms to integrate a large number of tourists, and strengthen users and tourist attractions through intelligent analysis. This paper proposes an intelligent scenic spot recommendation system that combines network security algorithms with artificial intelligence. By analyzing the historical operation behaviors of tourists and the current interactive behaviors of the system, the points of interest for tourists are understood, and then the association rule algorithm is used to understand the implicit relationships between various attractions. The network security algorithm can also protect the screening privacy of tourists. In each category, tourists can make choices based on own needs, and the recommendation system can meet the common needs of most tourists or according to personal interests, achieving good accuracy and user satisfaction.