Integration of art teaching resources in vertical social network

Author:

Zhang Hui

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.

Publisher

IOS Press

Subject

Computational Mathematics,Computer Science Applications,General Engineering

Reference21 articles.

1. Dynamic user preference based group vertical handoffs in heterogeneous wireless networks: A non-cooperative game approach;Goyal;Wireless Networks.,2020

2. Impact of buyer-supplier network complexity on firms’ greenhouse gas (GHG) emissions: An empirical investigation;Adhikary;Int J Prod Econ.,2020

3. Proportioning wind, solar, and in-stream tidal electricity generating capacity to co-optimize multiple grid integration metrics;Pearre;Appl Energy.,2019

4. On the integration of the development and application of micro-course resources and art teaching in primary schools;Zhang;Guide Sci Edu.,2020

5. Study on permanent preservation management of the network information re-source in artistic academy;Liu;J Library Sci Sichuan.,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3