Jun Huang, Yonglin Tian, Tengchao Zhang, Qinghua Ni, Fei Lin, Timothy J. Lee, Naiqi Wu, Fei-Yue Wang
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引用次数: 0
Abstract
Tourism is a critical driver of economic growth and cultural exchange. However, traditional tourism models often struggle to address challenges such as insufficient understanding of diverse travel preferences, limited capacity for personalized services, and a lack of intelligent, convenient service solutions. In this paper, we propose a virtual-real interactive Parallel Tourism System (PTS) and a Smart Tourism and Lifestyle Service Large Model (STLS-LM) to handle these challenges. By integrating Decentralized Autonomous Organizations (DAOs) and Foundation Models (FMs) supported by Retrieval-Augmented Generation, PTS elevates tourism services by incorporating agentic intelligence and autonomous intelligence, advancing beyond traditional AI-powered applications. The proposed framework enables a deep understanding of task requirements, precise multi-source information sensing, personalized functionality customization, and timely public feedback adoption, forming a comprehensive intelligent travel service system that caters to the evolving needs of modern tourism.
期刊介绍:
International Journal of Tourism Research promotes and enhances research developments in the field of tourism. The journal provides an international platform for debate and dissemination of research findings whilst also facilitating the discussion of new research areas and techniques. IJTR continues to add a vibrant and exciting channel for those interested in tourism and hospitality research developments. The scope of the journal is international and welcomes research that makes original contributions to theories and methodologies. It continues to publish high quality research papers in any area of tourism, including empirical papers on tourism issues. The journal welcomes submissions based upon both primary research and reviews including papers in areas that may not directly be tourism based but concern a topic that is of interest to researchers in the field of tourism, such as economics, marketing, sociology and statistics. All papers are subject to strict double-blind (or triple-blind) peer review by the international research community.