Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)

Accurate Recommendation Algorithm of International Chinese Education Resources Based on Knowledge Map

Authors
David Sanz Fojón1, 2, Honglei Liu2, *
1School of Information Science and Engineering, Linyi University, Linyi, China
2School of International Education and Exchange, Linyi University, Linyi, China
*Corresponding author. Email: liuhonglei@lyu.edu.cn
Corresponding Author
Honglei Liu
Available Online 28 September 2023.
DOI
10.2991/978-94-6463-264-4_59How to use a DOI?
Keywords
Knowledge map; International Chinese language education; Resources recommendation; User target resource keywords; Word frequency; Inverse text frequency
Abstract

In order to accurately recommend international Chinese education resources, an accurate recommendation algorithm for international Chinese education resources based on Knowledge graph is proposed. With international Chinese education resources as the core, a knowledge map based on the RDF triplet form of organization and the relationship between storage resources and resources has been constructed. In combination with the diversified attribute characteristics of education resources, two relationships have been set, namely, “concept attribute attribute value”, “resource A-relationship resource B”, according to knowledge extraction, knowledge representation. On this basis, based on the word frequency and inverse text frequency of user target resource keywords in the international Chinese education resource knowledge map, accurate recommendation of international Chinese education resources is achieved. The test results show that the recommendation time of the designed algorithm is only 10.4 s, and the f1 value is stable above 0.90. The recommendation performance is not affected by the size of the basic test data, and can effectively improve the accuracy and real-time performance of international Chinese education resource recommendations.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
28 September 2023
ISBN
10.2991/978-94-6463-264-4_59
ISSN
2589-4900
DOI
10.2991/978-94-6463-264-4_59How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - David Sanz Fojón
AU  - Honglei Liu
PY  - 2023
DA  - 2023/09/28
TI  - Accurate Recommendation Algorithm of International Chinese Education Resources Based on Knowledge Map
BT  - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
PB  - Atlantis Press
SP  - 518
EP  - 525
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-264-4_59
DO  - 10.2991/978-94-6463-264-4_59
ID  - Fojón2023
ER  -