The model of Big Data analysis for MICE using IoT (beacon) and artificial intelligence service (recommendation, interest, and movement)

Authors

  • Sunghyun Kim
  • Sungbum Park
  • Jangmook Kang
  • Sangwon Lee

DOI:

https://doi.org/10.14419/ijet.v7i3.33.21192

Keywords:

AI, AI Service, Beacon, Big Data, ICT, MICE, Service Method

Abstract

The aim of this research is to design and construct Smart Exhibition Convention service that utilizes IoT based Big Data. First, we designed the Total Smart MICE platform that can be used from the beginning to the end of the exhibition. In addition, we added support to enhance the competitiveness of objective and valuable reference model-based display tasks (planning, sales, etc.). In addition, we have developed new businesses and smart services utilizing the implications of data analysis. To improve the value of data collection and utilization, we hope that this research model will spread to the platform industry. The results of the study will be an opportunity to transform the paradigm of the exhibition industry to a smart MICE platform.

 

 

References

[1] McCartney, Glenn. "The CAT (casino tourism) and the MICE (meetings, incentives, conventions, exhibitions): Key development considerations for the convention and exhibition industry in Macao." Journal of Convention & Event Tourism. Vol. 9. No. 4. Taylor & Francis Group, 2008.

[2] Ladkin, Adele, and Julie Spiller. Meetings, Incentives, Conferences and Exhibition Industry. Travel & Tourism Intelligence, 2000.

[3] Zhang, Ling, Hailin Qu, and Jintao Ma. "Examining the relationship of exhibition attendees’ satisfaction and expenditure: The case of two major exhibitions in China." Journal of Convention & Event Tourism. Vol. 11. No. 2. Taylor & Francis Group, 2010.

[4] Breese, John S., David Heckerman, and Carl Kadie, "Empirical analysis of predictive algorithms for collaborative filtering," Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence, Morgan Kaufmann Publishers Inc., 1998.

[5] Sarwar, Badrul, et al., "Item-based collaborative filtering recommendation algorithms," Proceedings of the 10th international conference on World Wide Web, ACM, 2001.

[6] National Information Society Agency (2015), Interim Report of 2015 Big Data Pilot Project.

[7] National Information Society Agency (2015), Final Report of 2015 Big Data Pilot Project.

[8] National Information Society Agency (2015), [NIA Big Data Pilot Project] Performance Review Conference _Presentation Data

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How to Cite

Kim, S., Park, S., Kang, J., & Lee, S. (2018). The model of Big Data analysis for MICE using IoT (beacon) and artificial intelligence service (recommendation, interest, and movement). International Journal of Engineering & Technology, 7(3.33), 314–318. https://doi.org/10.14419/ijet.v7i3.33.21192

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Received 2018-10-07
Accepted 2018-10-07