Intelligent Tourism Plan Making System Based on Machine Learning Technology

Generative artificial intelligence will conduct in-depth analysis and mining of massive data in the tourism industry to help tourism enterprises and government departments make more accurate and scientific decisions. In order to further improve the user experience of tourist terminals, this study proposes a personalized tourist route generation modeling method based on user interest model. Moreover, after the theoretical research of this method is completed, its application value is analyzed, and the expected design goal is achieved. Therefore, in the future research, this model can be used to solve the route planning problem, and provide users with more personal tourism routes and tourism schemes. Through the experimental results, it can be seen that the route generation result of this model is good, which proves that this model has high application value. In addition, generative artificial intelligence technology imitates human creative thinking to generate a series of data, images, text or audio content that tourists need, thereby effectively improving the user experience.