Parallel Tourism System With Foundation Models and Decentralized Autonomous Organizations
Jun Huang, Yonglin Tian, Tengchao Zhang, Qinghua Ni, Fei Lin, Timothy J. Lee, Naiqi Wu, Fei–Yue Wang
Abstract
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.