Author(s)

Zhaojian Liu, Yinjuan Hu

Corresponding Author

Zhaojian Liu

Abstract

As artificial intelligence technology continues to advance, the smart tourism industry, which integrates tourism with information technology, is increasingly in need of personalized recommendation services. This study focuses on the development and application of smart tourism personalized recommendation models based on AI technology, aiming to provide tourists with more accurate and personalized tourism recommendations by integrating AI core technologies, such as machine learning and deep learning. It meets the diverse needs of tourists, improves the quality and efficiency of tourism services, and promotes the innovative development of the tourism industry. This study focuses on the development and application of smart tourism personalized recommendation models, aiming to address the contradiction between the diversification of tourist needs and the limitations of traditional recommendation methods by integrating core technologies such as machine learning and deep learning. Additionally, this study thoroughly examines the theoretical foundations, model construction, case analysis, challenges, countermeasures, and prospects, offering significant academic and practical insights into smart tourism personalized recommendations.

Keywords

Smart Tourism; Personalized Recommendation; Artificial Intelligence; Machine Learning; Deep Learning