BUSINESS INTELLIGENCE SERVICE BASED ON ADAPTIVE USER MODELING AND GROUPING
Jinhyung Kim1, Myunggwon Hwang1, Do-Heon Jeong1, Sa-Kwang Song1 & Hanmin Jung1 Show affiliations
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Journal of Computer Science, Volume 9, Issue 10, pp. 1396–1405 · doi.org/10.3844/jcssp.2013.1396.1405
Abstract
In this study, we suggest the mobile business intelligence service based on adaptive recognition of user intention and usage patterns. This service is named as InSciTe adaptive and based on text mining and semantic web technologies. This service supports not only technology-focusing analysis and prediction but also adaptive recognition about user’s intention by semi-automatic user modeling process. By the adaptive user modeling, this service can provide more suitable service flow and more proper analysis results based on user’s intention.
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Kim, J., Hwang, M., Jeong, D., Song, S. & Jung, H. (2013). BUSINESS INTELLIGENCE SERVICE BASED ON ADAPTIVE USER MODELING AND GROUPING. Journal of Computer Science, 9(10), 1396–1405. https://doi.org/10.3844/jcssp.2013.1396.1405
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