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Academic Journal of Computing & Information Science, 2024, 7(3); doi: 10.25236/AJCIS.2024.070312.

A Cloud Exhibition Hall System of Extended Reality Using Apriori Algorithm


Qi Zhang1, Zhengjie Xu1, Kaidi Xue1, Hongjia Yang1, Luyao Wang1, Haolong Yang2

Corresponding Author:
Zhengjie Xu

1Artificial Intelligence College, Zhejiang Dongfang Polytechnic, Wenzhou, China

2Metropolitan College, Boston University, Boston, USA


Traditional exhibition halls have many disadvantages, and the exhibition effect is not ideal. For example, large equipment cannot be transported and displayed due to the limitation of display space and cost, and it is difficult to convey the use scenario and experience of products to customers; Offline exhibition booths are limited, so more products cannot be displayed, and high-end products are not convenient to enter the site; For the raw materials, functions, structures, and specifications of products, there is a lack of real application cases to show the products; The cost of field investigation is high. If the process, production line, and production capacity cannot be investigated in depth, the customer cannot be trusted. Given Because of the numerous pain points in traditional exhibition halls, this paper proposes an XR display method based on the Apriori algorithm. Through this method, a cloud exhibition hall system is designed and implemented, which can effectively solve the problems of limited space in traditional exhibition halls, single exhibition means, inability to display the details of exhibits, inability to effectively collect customer opinions, and inability to mine and analyze customer data. The experiment shows that the system can feel the pain points of traditional exhibition halls, improve the exhibition effect of exhibition halls, and better promote the promotion of products.


Apriori,exhibition hall, Extended Reality, system, Unity

Cite This Paper

Qi Zhang, Zhengjie Xu, Kaidi Xue, Hongjia Yang, Luyao Wang, Haolong Yang. A Cloud Exhibition Hall System of Extended Reality Using Apriori Algorithm. Academic Journal of Computing & Information Science (2024), Vol. 7, Issue 3: 81-90. https://doi.org/10.25236/AJCIS.2024.070312.


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