Title: Optimisation of regional higher education resources search method based on attribute description matching

Authors: Xinjie Qiao

Addresses: Marxism College, Yellow River Conservancy Technical Institute, Kaifeng 475000, China

Abstract: To overcome the problems of long search time and low search accuracy of traditional search methods, a search optimisation method of regional higher education resources based on attribute description matching is proposed in this paper. Firstly, the language model of regional higher education resources is established, and the word relevance is calculated according to the position of each word item. Secondly, the phased screening method is used to construct the search model of teaching resources. Then, the matching degree of regional higher teaching resources is calculated. Finally, the attributes of teaching resources are labelled according to the attribute description to optimise the search method of teaching resources. The results show that when the amount of data is 800 TB, the search accuracy of this method can reach 92.3% and the search time is only 11.0 s. This shows that the proposed method can improve the search accuracy and efficiency.

Keywords: attribute description matching; regional higher education; resource search; phased screening.

DOI: 10.1504/IJCEELL.2024.135272

International Journal of Continuing Engineering Education and Life-Long Learning, 2024 Vol.34 No.1, pp.25 - 38

Received: 28 Sep 2021
Accepted: 12 Jan 2022
Published online: 03 Dec 2023 *

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