Title: Optimisation design of distance education resource recommendation system based on hierarchical linear model

Authors: Lili Zhou

Addresses: Ningbo Polytechnic, Ningbo 315800, China

Abstract: In order to solve the problems of large recommendation error and low efficiency in existing distance education resource recommendation systems, this paper proposes an optimisation design method of distance education resource recommendation system based on hierarchical linear model. The system is combined with hierarchical design, overall planning, design and realisation of design objectives, structure, logical structure, key technologies, etc. to realise the real-time data model updating of Hadoop distributed file system. The hierarchical linear model is used to construct the distance education resource recommendation model. According to the model, the optimisation objective function of distance education resource recommendation is set. The optimisation objective function is solved by the hybrid recommendation algorithm of content and collaborative filtering, and the optimisation design of distance education resource recommendation system is completed. The experimental results show that the proposed optimisation system has few recommendation errors and high recommendation efficiency, and the minimum recommendation error is only 0.11.

Keywords: hierarchical linear model; distance education resources; resource optimisation; recommendation system.

DOI: 10.1504/IJCEELL.2022.126860

International Journal of Continuing Engineering Education and Life-Long Learning, 2022 Vol.32 No.6, pp.681 - 698

Received: 12 Aug 2020
Accepted: 21 Oct 2020
Published online: 09 Nov 2022 *

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