| Autor: |
ZHANG Tengchao, TIAN Yonglin, LIN Fei, NI Qinghua, SONG Ping, DAI Xingyuan, LI Juanjuan, WU Naiqi, Timothy J. Lee, WANG Fei-Yue |
| Jazyk: |
čínština |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
智能科学与技术学报, Vol 6, Pp 164-178 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2096-6652 |
| DOI: |
10.11959/j.issn.2096-6652.202420 |
| Popis: |
Tourism, as an activity that satisfies people's desire for diverse life experiences and knowledge, has had profound impacts on the economy, culture, and other fields. However, with the rapid development of technologies, such as the Internet of Things and multimodal large language models, traditional tourism is unable to meet the demand for intelligent and personalized travel experiences. To address this, this paper proposes an interactive personalized tourism service system based on the concept of parallel intelligence, utilizing the ACP approach and multimodal large language models. The system constructs a comprehensive tourism model and leverages retrieval-augmented generation and multi-agent collaboration systems to create a new paradigm for personalized tourism services. Additionally, this paper explores the application ecosystem of parallel tourism, expanding the tourism ecosystem from four aspects: clothing, food, accommodation and transportation. This paper analyzes the integration of other industries with personalized tourism services. Parallel tourism is poised to bring new possibilities for the development of the tourism service industry. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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