Design and Optimization Methods of Tourism Information System Based on Artificial Intelligence and Machine Learning

With the continuous development of science and technology, tourism information system plays an increasingly important role in the tourism industry. Nowadays, the tourism information system has become an important bridge between travelers and tourism service providers, providing travelers with convenient channels for information acquisition and travel planning. However, the traditional tourism information system has the problems of low information accuracy, poor user experience and low efficiency of tourism planning. Aiming at these problems, this paper designs a new tourism information system based on the method of artificial intelligence and machine learning. Through the analysis of the experimental data, we found that the tourism information system designed in this paper shows obvious advantages in providing accurate and personalized tourism information and suggestions, and the accuracy level of users is improved, and the satisfaction is also increased. This means that users can better plan travel itineraries and better meet their needs. These results validate the effectiveness of the system designed in this paper in improving user experience and increasing the efficiency of tourism planning.