Chinese language curriculum resources pushing method based on knowledge graph and similarity algorithm

In order to improve the effect of Chinese course resource push, a method of Chinese course resource push based on knowledge graph and similarity algorithm is proposed. First, determine the density of resource data and the dependency relationships between data, and construct a knowledge graph of Chinese language course resources. Then, calculate Min's distance and cosine distance to determine the continuity of resource data, search for discrete data, determine the frequency of occurrence of Chinese language course resource data with different attributes, and achieve similarity measurement of Chinese language course resources. Finally, cross compressing the characteristics of Chinese language course resources, matching Chinese language course resource data with demanders, a dual push module to push Chinese language course resources is introduced and Chinese language course resource push is achieved. The experimental results show that the proposed method can effectively reduce the similarity of push data and improve the efficiency of pushing Chinese language course resources.

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Publication Details

Journal
International Journal of Continuing Engineering Education and Life-Long Learning
Published
2025-01-01
DOI
https://doi.org/10.1504/ijceell.2025.143804
Primary Topic
Educational Technology and Assessment
Type
article
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article

Chinese language curriculum resources pushing method based on knowledge graph and similarity algorithm

Xiancui Li, Hao-Chien Lu
International Journal of Continuing Engineering Education and Life-Long Learning
Educational Technology and Assessment
article

Chinese language curriculum resources pushing method based on knowledge graph and similarity algorithm

Xiancui Li, Hao-Chien Lu
article en

Abstract

In order to improve the effect of Chinese course resource push, a method of Chinese course resource push based on knowledge graph and similarity algorithm is proposed. First, determine the density of resource data and the dependency relationships between data, and construct a knowledge graph of Chinese language course resources. Then, calculate Min's distance and cosine distance to determine the continuity of resource data, search for discrete data, determine the frequency of occurrence of Chinese language course resource data with different attributes, and achieve similarity measurement of Chinese language course resources. Finally, cross compressing the characteristics of Chinese language course resources, matching Chinese language course resource data with demanders, a dual push module to push Chinese language course resources is introduced and Chinese language course resource push is achieved. The experimental results show that the proposed method can effectively reduce the similarity of push data and improve the efficiency of pushing Chinese language course resources.

International Journal of Continuing Engineering Education and Life-Long LearningVol. 35(1/2)
Jiaxing Vocational Technical College (CN)
Quality Education
Openalex Percentile: Top 100%
Educational Technology and Assessment
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Chinese language curriculum resources pushing method based on knowledge graph and similarity algorithm — Xiancui Li, Hao-Chien Lu · International Journal of Continuing Engineering Education and Life-Long Learning (2025) | TGRS Research Map | TGRS