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CluSoAF: A Cluster-Based Semantic Oriented Analyzing Framework for User Behaviors in Mobile Learning Environment

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Human Centered Computing (HCC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8944))

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Abstract

The rapid development of communication technology boosts the emergence of mobile learning and offers people the opportunity to get education in a brand new way. User behavior analysis is very important in the mobile learning environment. In this paper we propose a cluster based framework CluSoAF to analyze the user behaviors and then using semantic similarity to conduct resources recommendation for users. Compared with other works, the CluSoAF we proposed in this paper is highly flexible and can achieve satisfying performance.

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Author information

Authors and Affiliations

  1. Network Center, South China Normal University, No. 55 Zhongshan Avenue West, Guangzhou, 510631, Guangdong Province, China

    Nanhui Lin, Guohua Chen & Kai Zheng

  2. School of Computer Science, South China Normal University, Guangzhou, China

    Yong Tang

Authors
  1. Nanhui Lin
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  2. Guohua Chen
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  3. Kai Zheng
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  4. Yong Tang
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Corresponding author

Correspondence to Guohua Chen .

Editor information

Editors and Affiliations

  1. Wuhan University of Technology, Wuhan, China

    Qiaohong Zu

  2. Fujitsu Laboratories of Europe, Middlesex, United Kingdom

    Bo Hu

  3. Fudan University, Shanghai, China

    Ning Gu

  4. Telecommunications and Information Communication Technology, National Institute of Posts, Phnom Penh, Cambodia

    Sopheap Seng

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© 2015 Springer International Publishing Switzerland

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Lin, N., Chen, G., Zheng, K., Tang, Y. (2015). CluSoAF: A Cluster-Based Semantic Oriented Analyzing Framework for User Behaviors in Mobile Learning Environment. In: Zu, Q., Hu, B., Gu, N., Seng, S. (eds) Human Centered Computing. HCC 2014. Lecture Notes in Computer Science(), vol 8944. Springer, Cham. https://doi.org/10.1007/978-3-319-15554-8_28

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  • DOI: https://doi.org/10.1007/978-3-319-15554-8_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15553-1

  • Online ISBN: 978-3-319-15554-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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