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Research on the Application of Artificial Intelligence-Driven Cross-Modal Semantic Communication System in the Tourism Industry

In: Proceedings of the 2024 International Conference on Digital Economy and Marxist Economics (ICDEME 2024)

Author

Listed:
  • Dandan Lu

    (Guangxi University of Finance and Economics, School of Business Administration)

  • Xue Gong

    (Guangxi University of Finance and Economics, School of Business Administration)

  • Liudan Qiu

    (Guangxi University of Finance and Economics, School of Business Administration)

Abstract

In response to the current research gaps in cross-modal semantic communication within the tourism industry, this study proposes the architecture, core concepts, key technologies, practical applications, and challenges of a cross-modal semantic communication system driven by artificial intelligence. The aim of this research is to further advance the theoretical and applied studies in this new direction within the tourism industry. It is anticipated that this work will have a positive impact on the fields of multimedia communication and information processing, particularly in the application scenarios of the tourism industry.

Suggested Citation

  • Dandan Lu & Xue Gong & Liudan Qiu, 2024. "Research on the Application of Artificial Intelligence-Driven Cross-Modal Semantic Communication System in the Tourism Industry," Advances in Economics, Business and Management Research, in: Yongjun Guan & Yan Duan & Tao Wang & Chuan Liang (ed.), Proceedings of the 2024 International Conference on Digital Economy and Marxist Economics (ICDEME 2024), pages 29-39, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-636-9_5
    DOI: 10.2991/978-94-6463-636-9_5
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