Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Zhang, Hui
Affiliations: Digital Media Teaching and Research Department, Wanjiang University of Technology, Maanshan, Anhui 243000, China | E-mail: [email protected]
Correspondence: [*] Corresponding author: Digital Media Teaching and Research Department, Wanjiang University of Technology, Maanshan, Anhui 243000, China. E-mail: [email protected].
Abstract: The existing art resource integration methods do not adapt to the vertical social network environment, and the integration effect of art resources cannot meet the actual needs. In order to solve this problem and improve the recall rate and integration effect of art resources information, this paper proposes the integration method of art teaching resources in the vertical social network. Build art resource database, collect art learning resource information; Classify the collection information by related rules mining method; Extract the semantic keywords of resources using the segmentation system; And build the integration platform of art course teaching resources according to the characteristics of vertical social network art resources; Dynamic regression analysis method is used to schedule the art teaching resources in multiple information flow; Use the platform maintenance module, resource input module, platform generation module and information storage module; Use Ajax asynchronous communication technology to optimize the keyword retrieval operation for the integration of art teaching resources. The experimental results verify that the feasibility of this method is high in the practical application process, and the recall rate of information integration is increased to 95%, enhancing the effect of art resource integration, and fully meeting the research requirements.
Keywords: Vertical social network, art teaching, resource integration
DOI: 10.3233/JCM-225974
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 3, pp. 945-956, 2022
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]