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Research on Interest Searching Mechanism in SNS Learning Community

  • Conference paper
Algorithms and Architectures for Parallel Processing (ICA3PP 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8630))

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Abstract

The SNS learning community searches resources mainly based on the learners’ interests. It significantly influences the learners’ positivity of self-study whether the interest searching efficiency is high or not. However, the existing interest-based searching mechanisms are not comprehensive in node interest expressions and seem to be unduly complex in the calculation of the relevant degrees between the learners’ interests, which lead to low searching efficiency. Aimed at improving these deficiencies, it proposes more accurate methods of node interest expressions. Considering both efficiency and comprehensiveness of the calculation of relevant degree between node interests, it forms nodes with similar interests into effective interest domains to realize high interest searching efficiency. The comparisons of the Matlab simulation experiment results demonstrate that the improved searching mechanism can greatly promote the searching performance.

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Author information

Authors and Affiliations

  1. School of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning, China

    Renfeng Wang, Junpei Liu, Haining Sun & Zhihuai Li

Authors
  1. Renfeng Wang
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  2. Junpei Liu
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  3. Haining Sun
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  4. Zhihuai Li
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Illinois Institute of Technology, 60616-3793, Chicago, IL, USA

    Xian-he Sun

  2. School of Computer Science and Technology, Dalian Maritime University, 1 Linghai Road, 116026, Dalian, China

    Wenyu Qu

  3. University of Ottawa, SEECS, 8, King Edward Ave, K1N 6N5, Ottawa, ON, Canada

    Ivan Stojmenovic

  4. Deakin University, 221 Burwood Highway, 3125, Burwood, VIC, Australia

    Wanlei Zhou

  5. Dalian Maritime University, NO.1 Linhai Road, 116026, Dailian, China

    Zhiyang Li  & Tingting Yang  & 

  6. BeiHang University, XueYuan Road No.37,HaiDian District, Beijing, China

    Hua Guo

  7. University of Bradford, BD7 1DP, Bradford, West Yorkshire, United Kingdom

    Geyong Min

  8. Computer Network Information Center, Chinese Academy of Sciences, 100190, Beijing, China

    Yulei Wu

  9. 27 Shanda Nanlu, 250100, Jinan City, Shandong Province, China

    Lei Liu

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© 2014 Springer International Publishing Switzerland

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Wang, R., Liu, J., Sun, H., Li, Z. (2014). Research on Interest Searching Mechanism in SNS Learning Community. In: Sun, Xh., et al. Algorithms and Architectures for Parallel Processing. ICA3PP 2014. Lecture Notes in Computer Science, vol 8630. Springer, Cham. https://doi.org/10.1007/978-3-319-11197-1_53

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  • DOI: https://doi.org/10.1007/978-3-319-11197-1_53

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11196-4

  • Online ISBN: 978-3-319-11197-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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