Research on the application of MOSL information retrieval method in educational resource management Online publication date: Tue, 12-Sep-2023
by Xiang Li
International Journal of Knowledge-Based Development (IJKBD), Vol. 13, No. 2/3/4, 2023
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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Knowledge-Based Development (IJKBD):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook