Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
488391 | Procedia Computer Science | 2016 | 8 Pages |
Abstract
This study analyzes big data for visitors collected through the Internet of Things (IoT) beacon-based total smart Meeting, Incentive Trip, Convention, Exhibition & Event (MICE) platform and proposes a model designed to recommend a MICE participating firm to the visitors in real-time and actual analysis cases. The study results would bring an alternative targeted to improve convenience for each MICE participant and enhance value of the MICE using ICT technologies such as big data and beacon. If the result results are widely used across domestic MICE industry, they would make a contribution to the virtuous cycle of value in smart MICE.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
SungHyun Kim, Sungbum Park, Mi-Ran Sun, Jun-Hee Lee,