Evaluation of the Effect of Tourism Recommendation System based on AI

This evaluation experiment conducted an in-depth discussion on the performance of the tourism recommendation system based on artificial intelligence technology in real usage scenarios. The researchers verified the actual effect of the system by examining the accuracy of the recommendation results, user satisfaction, and system performance. After a detailed analysis of the system structure, model cultivation and deployment process, and based on 1,000 rounds of test data, the results showed that the accuracy of the recommendation algorithm reached 85.3%, the precision was 82.7%, the user satisfaction score was 4.7, the response time was only 120 milliseconds, and the system stability was as high as 99.8%. The research conclusion shows that the system can successfully output customized, high-quality travel suggestions, and can still maintain excellent performance even when the number of user visits surges.