Title: Research on the application of MOSL information retrieval method in educational resource management

Authors: Xiang Li

Addresses: Office of Teaching Affairs, Rallway Police College, Zhengzhou, 450053, China

Abstract: In order to make full use of educational management resources and improve management efficiency, an improved ID3 algorithm is used to build an educational management resource mining system. The experimental results show that the improved ID3 algorithm has higher classification efficiency. The multi objective optimal sequencing learning (MOSL) algorithm has the highest NDCG value in different datasets and better stability. The MOSL algorithm has better noise removal ability. The running time of the MOSL algorithm to achieve the same sorting requirement is 1.87 s, which is more efficient for retrieval compared with the comparison algorithm. The PR The MOSL algorithm contains the largest area in the curve, and its AP value is 0.914, indicating that the retrieval results obtained by the MOSL retrieval method proposed in the study have higher search completion rate and accuracy rate, which can improve the retrieval efficiency and accuracy, and have certain practical value.

Keywords: improved ID3 algorithm; educational management resources; sequential learning; multi-objective optimisation; information retrieval.

DOI: 10.1504/IJKBD.2023.133328

International Journal of Knowledge-Based Development, 2023 Vol.13 No.2/3/4, pp.198 - 213

Received: 11 Aug 2022
Accepted: 20 Sep 2022
Published online: 12 Sep 2023 *

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