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@article{ART002219014},
author={Joon-Woo Park and Choi Eui In},
title={Personalized Recommendation Service Framework Using the Beacon},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2017},
volume={12},
number={2},
pages={227-233},
doi={10.34163/jkits.2017.12.2.002}

TY - JOUR
AU - Joon-Woo Park
AU - Choi Eui In
TI - Personalized Recommendation Service Framework Using the Beacon
JO - Journal of Knowledge Information Technology and Systems
PY - 2017
VL - 12
IS - 2
PB - Korea Knowledge Information Technology Society
SP - 227
EP - 233
SN - 1975-7700
AB - 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.
KW - Beacon;Personalized recommendation service;Context aware;IoT technology;Mobius platform
DO - 10.34163/jkits.2017.12.2.002
ER -

Joon-Woo Park and Choi Eui In. (2017). Personalized Recommendation Service Framework Using the Beacon. Journal of Knowledge Information Technology and Systems, 12(2), 227-233.

Joon-Woo Park and Choi Eui In. 2017, "Personalized Recommendation Service Framework Using the Beacon", Journal of Knowledge Information Technology and Systems, vol.12, no.2 pp.227-233. Available from: doi:10.34163/jkits.2017.12.2.002

Joon-Woo Park, Choi Eui In "Personalized Recommendation Service Framework Using the Beacon" Journal of Knowledge Information Technology and Systems 12.2 pp.227-233 (2017) : 227.

Joon-Woo Park, Choi Eui In. Personalized Recommendation Service Framework Using the Beacon. 2017; 12(2), 227-233. Available from: doi:10.34163/jkits.2017.12.2.002

Joon-Woo Park and Choi Eui In. "Personalized Recommendation Service Framework Using the Beacon" Journal of Knowledge Information Technology and Systems 12, no.2 (2017) : 227-233.doi: 10.34163/jkits.2017.12.2.002

Joon-Woo Park; Choi Eui In. Personalized Recommendation Service Framework Using the Beacon. Journal of Knowledge Information Technology and Systems, 12(2), 227-233. doi: 10.34163/jkits.2017.12.2.002

Joon-Woo Park; Choi Eui In. Personalized Recommendation Service Framework Using the Beacon. Journal of Knowledge Information Technology and Systems. 2017; 12(2) 227-233. doi: 10.34163/jkits.2017.12.2.002

Joon-Woo Park, Choi Eui In. Personalized Recommendation Service Framework Using the Beacon. 2017; 12(2), 227-233. Available from: doi:10.34163/jkits.2017.12.2.002

Joon-Woo Park and Choi Eui In. "Personalized Recommendation Service Framework Using the Beacon" Journal of Knowledge Information Technology and Systems 12, no.2 (2017) : 227-233.doi: 10.34163/jkits.2017.12.2.002