Title: Retrieval method for English teaching resources based on decision tree algorithm

Authors: Jinyan Du

Addresses: Department of Fundamental Courses, Xinxiang Vocational and Technical College, Xinxiang, Henan, China

Abstract: A decision tree algorithm based English teaching resource retrieval method is proposed to address the problems of current resource retrieval methods, including low recall and precision, as well as longer retrieval time. Firstly, the word frequency statistical method is used to extract the features of teaching resources. Then, the C4.5 algorithm, also known as the decision tree algorithm, is applied to classify English teaching resources based on information gain. Finally, the Sussan concept similarity algorithm is used to calculate the similarity between the retrieved content and the database content, and the similarity values are sorted from high to low to select the optimal English teaching resource retrieval result. The experimental results show that the proposed method always maintains a recall rate between 98.0% and 99.0%, surpassing 98.00% in precision and the shortest retrieval time is only 8.15 seconds.

Keywords: decision tree algorithm; English teaching resources; feature extraction; semantic similarity; resource retrieval.

DOI: 10.1504/IJCAT.2023.138826

International Journal of Computer Applications in Technology, 2023 Vol.73 No.4, pp.231 - 237

Received: 13 Oct 2023
Accepted: 15 Dec 2023
Published online: 31 May 2024 *

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