Deep resource allocation for a massively multiplayer online finance of tourism gamification in metaverse

Chung-Hua Chu ()
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Chung-Hua Chu: National Taichung University of Science and Technology

Information Technology & Tourism, 2023, vol. 25, issue 4, No 6, 565-583

Abstract: Abstract We would like to develop an effective multi-user finance service for tourism gamification in the metaverse. Such a digital marketing is emerging and popular in the tourism industry. With our proposed financial service for the tourism gamification, the users can easily pay ordered commodities on the virtual stores around the virtual sightseeing spots in the metaverse. Note that the shopping commodities from the virtual stores will be delivered to the users from the real store. Such a convenient payment experience during the tour can also promote tourism industry in the real world. In addition, to remedy the computing resource scarcity, we propose an efficient computing resource allocation technique based on the neural network for the mobile computing scenario. Experimental results show that this method can make the technology of smart contracts more extensible for the game platforms, instead of the limited web-based methods and traditional transactions.

Keywords: Tourism gamification; Resource allocation; Massively multiplayer online finance; Blockchain; Deep learning (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s40558-023-00267-8

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