Intelligent Tourism Information Interaction Design and Service Strategy Based on SOM Clustering Algorithm

Developing the city's intelligent tourism service is an important way to speed up the city's economic construction and the only way to improve the tourism service system. As a individualized service, interactive system can actively push the content that users may be interested in, reducing the burden of users looking for needed information. In this text, a tourist attraction recommendation model based on SOM clustering algorithm and CAD is proposed to realize more individualized interactive design and service of intelligent tourism information, aiming at conforming to the principle of focusing on tourists' needs in intelligent tourism, enhancing tourists' autonomy and interaction in tourism activities, and providing tourists with convenient and individualized tourism information services. This model provides a intelligent tourism solution, which realizes the real-time sense of tourism environment, the integration of thematic information and the interaction of tourism management services. Intelligent tourism service is of great strategic significance for promoting the innovation-driven and sustainable growth of tourism. © 2024 U-turn Press LLC,.