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http://dx.doi.org/10.5762/KAIS.2017.18.7.441

An Architecture for Collecting User Interest Information in Offline  

Kim, Chul-Jin (Dept. of Computer Systems and Engineering, Inha Technical College)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.18, no.7, 2017 , pp. 441-447 More about this Journal
Abstract
In order to provide personalized services on the Web and for mobile services, it is necessary to collect and analyze information processed by users. Typically, information collected by users is managed online. Using information collected online may be sufficient to provide personalized service. However, in terms of O2O services, which are currently mixed with online and offline services, user information from the offline service can also be an important part of personalized service. Therefore, this study suggests an architecture to collect offline user information to provide more precise personalization services. The collection architecture includes Node Analyzer, Distance Checker, Holding Time Checker, and Cross Analyzer as core elements. This study also offers proposals for processing algorithms of key components that make up the proposed architecture. A case study collects user information of interest based on BLE in order to verify the proposed architecture and algorithms.
Keywords
Collection Architecture; User Interest Information; Personalized Service; O2O; BLE;
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Times Cited By KSCI : 1  (Citation Analysis)
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