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The study of knowledge service-oriented recommendation mechanism - a case of e-learning platform

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3 Author(s)
Ruey-Ming Chao ; Dept. of Inf. Manage., Da-Yeh Univ., Changhua, Taiwan ; Jen-Tu Huang ; Chin-Wen Yang

With the continuing development of communication technology and the Internet, by the digital learning approaches, the learners can create a self-learning environment without physical limitation. In addition to the fashion of electronic learning, organizations devote a lot of budgets and knowledge intensive services to keep the human resource competitions with R/D of new technologies. Based on the existing digital platforms and several restricts within knowledge management systems, the human knowledge needs to become more integrated and appropriate for learners' usage. In the economic age and new industrial revolution, the universities have become the most important knowledge service providers (KSP). This paper focused on the WALTZ2U online Web site in Da-Yeh University. In order to solve the problems mentioned above, we combined with the knowledge supply chain (KSC), content-based filtering method, and fuzzy logic to construct a knowledge-intensive recommendation service model (KIRSM) in the existing WALTZ2U platform. Under the life cycle model of knowledge, we make it become a diversified knowledge-intensive portal (KIP) with the service providing.

Published in:

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on  (Volume:4 )

Date of Conference:

18-21 Aug. 2005