Title: A collaborative filtering-based network multimedia English teaching resource recommendation

Authors: Huanxia Deng

Addresses: Department of Foreign Language, Huanghuai University, Yicheng District, Zhumadian, China

Abstract: Owing to the problems of high recommendation error and low recommendation satisfaction in traditional network multimedia English teaching resources recommendation methods, a collaborative filtering-based network multimedia English teaching resource recommendation method is proposed in this paper. Firstly, the entities contained in the network multimedia English teaching resources are extracted, and a hierarchical allocation model for resource recommendation is established. Then the semantic information of the network multimedia English teaching resources is mined. The hidden items of different semantic features are analysed, and different levels of concern are set. Finally, the distribution of the filtering model parameter under different difference levels is obtained by the collaborative filtering method, and the resources are recommended based on the knowledge graph fusion inference technology. The test results show that this method has a high level of satisfaction and low recommendation error for network multimedia English teaching resource recommendation.

Keywords: collaborative filtering; network multimedia; English teaching resources; feature clustering; knowledge graph.

DOI: 10.1504/IJCAT.2024.143293

International Journal of Computer Applications in Technology, 2024 Vol.74 No.4, pp.291 - 297

Received: 23 Jan 2024
Accepted: 05 Jun 2024
Published online: 12 Dec 2024 *

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