Title: A personalised matching method of English learning data packages based on knowledge map

Authors: Wei Liu

Addresses: Department of Foreign Languages, Dalian Jiaotong University, Dalian, 116023, China

Abstract: In order to improve the retention rate of learning data and the coverage rate of matching results, this paper designs a personalised matching method of English learning data packages based on knowledge map. First, cluster the learning packages information and analyse user interest. Secondly, the knowledge map network is established and the sequence nodes are analysed. Then, the user features and data packages features are decomposed from the relational entities of the knowledge map to obtain independent user features and data packages features; Finally, users' interests and preferences are optimised by updating the node weights in the knowledge map, and personalised matching is realised according to the similarity between data packets. Experiment shows that this method can control the retention rate of the learning date packages at more than 90% and the matching coverage at more than 95%, which shows that this method can meet the needs of users.

Keywords: English learning data packages; users; personalised matching; knowledge map; node weight.

DOI: 10.1504/IJRIS.2025.146927

International Journal of Reasoning-based Intelligent Systems, 2025 Vol.17 No.2, pp.90 - 97

Received: 13 Feb 2023
Accepted: 15 May 2023
Published online: 27 Jun 2025 *

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