Design of Tourism Intelligent Recommendation Model of Mount Tai Scenic Area Based on Knowledge Graph

Based on all kinds of tourism data of Mount Tai, this paper proposes a tourism intelligent recommendation model based on the knowledge graph of Mount Tai scenic area. This paper introduces the relevant basic theory, and carries out a detailed analysis and design of the model. The main content of the model includes building the tourism knowledge graph of Mount Tai scenic area, clustering analysis and comprehensive sorting of the information of the target users, calculating the correlation between users and Mount Tai scenic spot, judging whether to recommend information to users, generating the users recommendation list and forming different kinds of tourism service schemes for different users, and pushing accurate, personalized and more attractive recommendation information to users with strong tourism preference and high correlation in Mount Tai scenic area. The realization of the model can help Mount Tai scenic area to find its own precise users, thus promoting the development of Mount Tai tourism.