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

Authors: Haoli Lu; Xiancui Li

Addresses: Teachers College, Xin Xiang Vocational and Technical College, Xin Xiang, 453000, China ' Teachers College, Xin Xiang Vocational and Technical College, Xin Xiang, 453000, China

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.

Keywords: knowledge graph; similarity algorithm; Chinese language courses; resource push; cosine distance; triplet.

DOI: 10.1504/IJCEELL.2025.143804

International Journal of Continuing Engineering Education and Life-Long Learning, 2025 Vol.35 No.1/2, pp.77 - 94

Received: 03 Feb 2024
Accepted: 09 Sep 2024
Published online: 07 Jan 2025 *

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