Research Article Open Access

BUSINESS INTELLIGENCE SERVICE BASED ON ADAPTIVE USER MODELING AND GROUPING

Jinhyung Kim1, Myunggwon Hwang1, Do-Heon Jeong1, Sa-Kwang Song1 and Hanmin Jung1
  • 1 , Korea

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.

Journal of Computer Science
Volume 9 No. 10, 2013, 1396-1405

DOI: https://doi.org/10.3844/jcssp.2013.1396.1405

Submitted On: 19 April 2013 Published On: 17 September 2013

How to Cite: 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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Keywords

  • Business Intelligence
  • Adaptive Recognition
  • User Intention
  • User Modeling
  • Analysis and Prediction