Using Machine Learning of Artificial Intelligence to Analyze Business Opportunities and Applications of the Massively Multiplayer Online Role-Playing Game Case in Metaverse †

Kuo Hsien Lee, Wen-Hsien Tsai, Cheng Tsu Huang, Jerry Tao, Hank Lee, Ching Hui Chen, Li Yun Lee, Hsiao-Ting Tseng

研究成果: 雜誌貢獻期刊論文同行評審

2 引文 斯高帕斯(Scopus)

摘要

By using the machine learning of artificial intelligence to explore the application business opportunities of the Metaverse in the MMORPG (Massively Multiplayer Online Role-Playing Game) interactive game market, we study the supply and demand laws of buyers and sellers at the market economy level, future trends, and business opportunities. The feasibility of its new products and services is explored under a pragmatic, cooperative model of the game community platform “Key to the Desert” case for the application level and business opportunities of Taiwan’s Metaverse markets. Online and offline integration (OMO; Online Merge Offline), precision marketing, and the customer management data platform (Customer Data Platform) are also explored in the application business opportunities of the Metaverse market. By combining the NFT (Non-Fungible Token) Monopoly game and MMORPG interactive games, we study the laws of supply and demand of buyers and sellers at the market economy level to provide third-party payment, electronic payment, mobile payment, and other transaction method certifications such as NFT (Non- Fungible Token). We also evaluation the future and security issues of cryptocurrency.

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文章編號12
期刊Engineering Proceedings
55
發行號1
DOIs
出版狀態已出版 - 2023

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