IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/7899809.html
   My bibliography  Save this article

Digital Service Model of Red Educational Resources from the Perspective of Excellent Traditional Culture

Author

Listed:
  • Dan Liu
  • Wei Zhang

Abstract

In view of the poor service effect caused by the incomplete index base of the traditional red education resources digital service model, this paper puts forward the red education resources digital service model from the perspective of excellent traditional culture. Determine the influencing factors of red education resources in the integration process, integrate the remote scheduling principle of teaching information into the feature vector extraction of red education resources, extract the number of main factors of the feature vector, decompose the feature vector of red education resources, take the wavelet entropy of red education resources as the fusion weight, and integrate the obtained coefficients through wavelet transformation. Get the integration results of red education resources. Build the architecture of digital service model, grab all web pages on the Internet with indexer, and create forward index and reverse index. Use the controller to search web pages and control all web pages to be searched. Restrict query conditions through user interface. Establish a red education resource data index database, query and process documents, and build a digital service model. The experimental results show that the designed service model has good goodness of fit and high performance.

Suggested Citation

  • Dan Liu & Wei Zhang, 2022. "Digital Service Model of Red Educational Resources from the Perspective of Excellent Traditional Culture," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-9, February.
  • Handle: RePEc:hin:jnddns:7899809
    DOI: 10.1155/2022/7899809
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/ddns/2022/7899809.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/ddns/2022/7899809.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/7899809?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnddns:7899809. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.