• Journal of the Korean Professional Engineers Association
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• v.13 no.3
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• pp.60-64
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• 1980

Top manager and factory manager in the small-medium industrial factory in Korea was conscious of industrial education training requirement more than past, it began the Saemaul movement in factory from 1974, and the 1st nation wide meeting of industrial Standardization & Quality control Movement from 1975, etc. It is that industrial education training through the influence of pan-industrial nation with program. Because it is non-system and unplanned that are a short period introduction of industrial education training operation. Now then they are received better apprecation through the information of the program ecommendation and consultancy of industrial education training from coordination with related professional agencies and goverment agency for small-medium industry promotion.

• Journal of Information Technology Applications and Management
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• v.23 no.4
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• pp.55-70
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• 2016

Recently, development of indoor positioning system and IoT such as beacon makes it possible to collect and analyze each customer's shopping behavior in off-line shopping malls. In this study, we propose a realtime brand recommendation scheme based on each customer's brand visiting history for off-line shopping mall with indoor positioning system. The proposed scheme, which apply collaborative filtering to off-line shopping mall, is composed of training and apply process. The training process is designed to make the base brand network (BBN) using historical transaction data. Then, the scheme yields recommended brands for shopping customers based on their behaviors and BBN in the apply process. In order to verify the performance of the proposed scheme, simulation was conducted using purchase history data from a department store in Korea. Then, the results was compared to the previous scheme. Experimental results showd that the proposed scheme performs brand recommendation effectively in off-line shopping mall.