高校内部在线教学资源快捷推荐模型研究  

Research on the Rapid Recommendation Model of Online Teaching Resources in Colleges and Universities

作　　者：王征[1] 梁建华[2] Wang Zheng

机构地区：[1]西南财经大学经济信息工程学院,四川成都611130 [2]西南财经大学马克思主义学院,四川成都611130

出　　处：《情报理论与实践》2021年第5期180-186,共7页Information Studies:Theory & Application

基　　金：2020年度教育部人文社会科学研究项目子课题“在线网课数据驱动服务研究”(项目编号:20XJAZH010);中央高校基本科研业务费专项资金课题“高校图书馆综合服务应用研究”(项目编号:JBK1903006)的成果之一。

摘　　要：[目的/意义]高校内部在线教学资源的封闭性,导致了外部搜索引擎无法对其进行搜索,阻碍了师生们的搜索与访问,严重影响了当前在线教学工作顺利进行。[方法/过程]针对在线教学的现实需求与校内资源的特点,提出了一种高校在线教学资源推荐模型,该模型从网课系统中获取教学需求,通过内部爬虫采集校内在线教学资源,并通过线上教学资源采集驱动子算法与快捷推荐子算法为师生员工提供服务。[结果/结论]实例分析与性能实验表明,该模型的资源挖掘效果良好、用户满意度高,且推荐效率高、占用系统资源少,具有较高的性价比。[Purpose/significance]Due to the closeness of online teaching resources in colleges and universities,external search engines cannot search them,thus hindering the search and access of teachers and students.[Method/process]According to the actual needs and resource characteristics of online teaching,a rapid recommendation model of online teaching resources in colleges and universities is proposed.The model obtains teaching needs from online course system,collects online teaching resources through internal crawler,and provides services for teachers,students and staff through online teaching resource collection driver algorithm and rapid recommendation sub algorithm.[Result/conclusion]Case analysis and performance experiments show that the model has good resource mining effect,high user satisfaction,high recommendation efficiency,less system resources,and high cost performance.

关 键 词：高校 在线教学 快捷推荐模型 信息资源采集 采集驱动 信息服务 

分 类 号：G434[文化科学—教育学] G642[文化科学—教育技术学] G252.62