Title: Personalised recommendation of English MOOC teaching resources based on multi dimensional user portrait

Authors: Yingying Zhu; Jipeng Mao

Addresses: Department of Foundation Subjects, Xinxiang Vocational and Technical College, Xinxiang, 453000, China ' Department of Foundation Subjects, Xinxiang Vocational and Technical College, Xinxiang, 453000, China

Abstract: In order to improve the accuracy of personalised recommendation of English MOOC teaching resources, the research on personalised recommendation method of English MOOC teaching resources based on multi-dimensional user portrait was carried out. This paper first introduces the self attention mechanism, extracts the user attribute features and potential features, and integrates them to realise the construction of multi-dimensional user portraits, and then considers the basic attributes, interest attributes and social attributes to complete the calculation of user similarity. Finally, on this basis, combined with the attribute characteristics of teaching resources and user interest characteristics, it completes the personalised recommendation of English MOOC teaching resources. The experimental results show that the accuracy of the proposed method is higher than 96.3%, the recall rate is higher than 95.7%, and the F1 value is between 0.93~0.98002E.

Keywords: user portrait; English courses; MOOC teaching resources; personalised recommendation.

DOI: 10.1504/IJBIDM.2025.149071

International Journal of Business Intelligence and Data Mining, 2025 Vol.27 No.2/3/4, pp.89 - 106

Received: 20 Sep 2024
Accepted: 16 Jan 2025
Published online: 13 Oct 2025 *

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