발간년도 : [2020]
| 논문정보 |
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| 논문명(한글) |
[Vol.15, No.5] Context Recognition Method for Personalization Service in Bigdata Environment |
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| 논문투고자 |
Hyokyung Chang |
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| 논문내용 |
The change in the cloud-based computing environment and the development of computing technology are moving toward supporting to maximize the use of data that is so called Bigdata. This direction will be an environment leading to a truly ubiquitous computing environment that Mark D. Weiser emphasized. As the 4th Industrial Revolution spreads, structured or unstructured data is being produced in vast amounts every moment. These Bigdata are collected, pre-processed, and stored somewhere in a distributed processing system to be used to create the value of Bigdata. Along with such changes in the computing environment, mobile cloud services support providing a variety of desired services through mobile devices and other cloud services. However, most of these services are provided using only location information, and the user directly searches for and uses the service. In order to improve this problem, context recognition technology is being used. Recently, there is a lot of interest in healthy beauty. Accordingly, or as a trend, many people are showing a lot of interest in various data generated as they wear wearable devices, walk, run, and go up and down stairs. To support more efficient personalization services, this paper proposed a context recognition method for personalization services in Bigdata that uses user information and profiles after collecting and pre-processing data generated. |
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