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

被引:0
|
作者
Lu, Haoli [1 ]
Li, Xiancui [1 ]
机构
[1] Xin Xiang Vocat & Tech Coll, XIN XIANG 453000, Peoples R China
关键词
knowledge graph; similarity algorithm; Chinese language courses; resource push; cosine distance; triplet;
D O I
10.1504/IJCEELL.2025.143804
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
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.
引用
收藏
页数:19
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