Title: English teaching resource database retrieval based on adaptive differential evolution algorithm

Authors: Mengzhang Liu

Addresses: School of Applied Foreign Languages, XinYang Vocational and Technical College, XinYang, 464000, China

Abstract: In order to improve the retrieval recall rate of English teaching resource database, the retrieval accuracy of English teaching resource database needs improvement and the retrieval time of English teaching resource database needs to be shortened. Therefore, English teaching resource database retrieval method based on adaptive differential evolution algorithm is studied. Firstly, the semantic feature distribution of English teaching resource database is analysed by combining semantic information fusion and cluster analysis. Then, the spatial undersampling technology is used to process the distributed sampling and information fusion of the English teaching resource database. Finally, according to the fusion results, the adaptive differential evolution algorithm is used to retrieve the English teaching resource database. The experimental results show that the average recall rate of the proposed method is 90.7%, the retrieval accuracy of English teaching resource database is 97.7%, and the retrieval time is 22.7 ms.

Keywords: adaptive differential evolution algorithm; cluster analysis; semantic information fusion; English teaching; resource database retrieval.

DOI: 10.1504/IJCEELL.2024.139934

International Journal of Continuing Engineering Education and Life-Long Learning, 2024 Vol.34 No.4, pp.380 - 390

Received: 13 May 2022
Accepted: 30 Aug 2022
Published online: 12 Jul 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article