발간년도 : [2017]
| 논문정보 |
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| 논문명(한글) |
[Vol.12, No.2] Personalized Recommendation Service Framework Using the Beacon |
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| 논문투고자 |
Joon-Woo Park, Eui-in Choi |
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| 논문내용 |
The number and variety of applications, content is increased due to smartphone has spread to the development of mobile networks and devices, and smartphone users increasing. Therefore, the user wants to receive anytime, anywhere, the information available at the time that a user prefers. Personalized service by analyzing the user profile using user information such as current situation, behavior, tendencies, and preferences of the current required to provide a service that responding user's request. By using the user's context and grasp the situation, it is necessary that the context-aware services providing service according to it. In addition, according to IoT environment issue, personalized recommendation service using IoT technology increased. Recently personalization recommendation service is interesting about Big data technology according to stored and analyze the data due to social media and variety of information. Existing service is made by using only the past history of the user. Therefore, being made of a user-oriented service, it is difficult to consider the user's context. In this paper, we study about positioning service including Beacon and Mobius platform that is IoT open API and Cassandra named Big data analysis. Also, we implement your personalized recommendation services framework using context aware technologies and Cassandra using a beacon representing the IoT technology. |
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