Abstract
The Hall for Workshop of Metasynthetic Engineering (HWME) is a methodology that can be used to deal with problems in open complex giant systems, such as strategic decisions of national emergency actions. The discussion process is the key component of the HWME system, in which the generalized experts provide a valuable knowledge to human experts. In this paper, a novel framework is proposed, which can explore the personalized information of generalized experts. An item-based collaborative filtering approach is adopted to recommendation for HWME system. Under this framework, human experts can make the best use of information provided by the generalized experts and then give a more effective judgment.
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Li, Q., Li, Y., He, H., Geng, G., Zhu, Y., Wang, C. (2007). Providing Personalized Services for HWME System by Item-Based Collaborative Filtering. In: Yang, C.C., et al. Intelligence and Security Informatics. PAISI 2007. Lecture Notes in Computer Science, vol 4430. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71549-8_36
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DOI: https://doi.org/10.1007/978-3-540-71549-8_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71548-1
Online ISBN: 978-3-540-71549-8
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