Journal of Computer Science

BUSINESS INTELLIGENCE SERVICE BASED ON ADAPTIVE USER MODELING AND GROUPING

Jinhyung Kim, Myunggwon Hwang, Do-Heon Jeong, Sa-Kwang Song and Hanmin Jung

DOI : 10.3844/jcssp.2013.1396.1405

Journal of Computer Science

Volume 9, Issue 10

Pages 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.

Copyright

© 2013 Jinhyung Kim, Myunggwon Hwang, Do-Heon Jeong, Sa-Kwang Song and Hanmin Jung. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.