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Study on an Intelligent Knowledge Push Method for Knowledge Management System

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Book cover Cutting-Edge Research Topics on Multiple Criteria Decision Making (MCDM 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 35))

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Abstract

In this paper, we design a mechanism which can measure the affinity between knowledge and user, affinity among users to achieve the intelligent management of knowledge. Based on the affinity, we can implement knowledge push to provide the right knowledge to the right person automatically. Several matrixes are designed to calculate the affinity.

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Author information

Authors and Affiliations

  1. Graduate University of Chinese Academy of Sciences, Beijing, 100190, China

    Lingling Zhang, Qingxi Wang & Guangli Nie

  2. Research Center on Fictitious Economy and Data Science, CAS, Beijing, 100190, China

    Lingling Zhang & Guangli Nie

Authors
  1. Lingling Zhang
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  2. Qingxi Wang
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  3. Guangli Nie
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Nebraska, NE 68182, Omaha, USA

    Yong Shi

  2. Chinese Academy of Sciences, Beijing, P.R. China

    Shouyang Wang  & Jianping Li  & 

  3. University of Electronic Science and Technology of China, Chengdu, China

    Yi Peng  & Yong Zeng  & 

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© 2009 Springer-Verlag Berlin Heidelberg

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Zhang, L., Wang, Q., Nie, G. (2009). Study on an Intelligent Knowledge Push Method for Knowledge Management System. In: Shi, Y., Wang, S., Peng, Y., Li, J., Zeng, Y. (eds) Cutting-Edge Research Topics on Multiple Criteria Decision Making. MCDM 2009. Communications in Computer and Information Science, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02298-2_32

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  • DOI: https://doi.org/10.1007/978-3-642-02298-2_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02297-5

  • Online ISBN: 978-3-642-02298-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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