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Research on Adaptive Updating Method of Education Resource Index Based on Mobile Computing

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A Correction to this article was published on 01 October 2021

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Abstract

When using the current method to update the index of educational resources, there is no analysis of the hierarchical association structure between educational resources. There are some problems such as too long index construction time, high query time and low query accuracy. Therefore, this paper introduces mobile computing to study the adaptive updating method of education resource index. This paper analyzes the structure of the index system of educational resources. On the basis of mobile computing, the hierarchical association structure between educational resources is analyzed by LDA (Latent Dirichlet Allocation) topic modeling and topic hierarchical clustering. The initial query is expanded by selecting extension words by local co-occurrence method. The weight of the extended query is allocated by genetic algorithm to realize the adaptive updating of the index of educational resources. The experimental results show that when the number of nodes is 25 × 104, the total query time of this method is only 3.5 s, and the average index redundancy rate is only 0.22%, indicating that the resource index update performance of this method is better.

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Acknowledgements

The research is funded by Teaching reform and Innovation Project of Shanxi Province colleges and universities (The optimization and practice of the talent training system of physics in local colleges based on the accreditation of normal education).

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Authors and Affiliations

  1. Department of Electronic Information and Physics, Changzhi University, Changzhi, 046011, China

    Jian-Wei Liu

  2. School of Computing Science and Engineering, Vellore Institute of Technology, Vellore, India

    Arun Kumar Sangaiah

  3. Department of Industrial Engineering and Management, National Yunlin University of Science and Technology, Yunlin, Taiwan

    Arun Kumar Sangaiah

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  1. Jian-Wei Liu
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  2. Arun Kumar Sangaiah
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Correspondence to Arun Kumar Sangaiah.

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The original online version of this article was revised: The original version of this article, published on 5 May 2021, the authors have found an error in the published version of the paper. Typesetter inadvertently added the section heading "2 Conclusion" between "1 Introduction" and "3 Characteristic analysis of educational resource index" sections in the attached published version. This should be deleted.

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Liu, JW., Sangaiah, A.K. Research on Adaptive Updating Method of Education Resource Index Based on Mobile Computing. Mobile Netw Appl 26, 2153–2162 (2021). https://doi.org/10.1007/s11036-021-01771-z

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