基于智能推荐的学习空间大数据处理技术架构设计研究（英文）  

Research on the architecture of open intelligent learning space on big data processing technology

作　　者：胡光永[1] 韦鹏飞[2] Guang-yong HU;Peng-fei WEI(School of Computer and Software,Nanjing Institute of Industry Technology,Nanjing 210023,China;School of Material Engineering,Jinlin Institute of Technology,Nanjing 211169,China)

机构地区：[1]南京工业职业技术学院计算机与软件学院,南京210023 [2]金陵科技学院材料工程学院,南京211169

出　　处：《机床与液压》2018年第24期120-124,共5页Machine Tool & Hydraulics

基　　金：National Natural Science Foundation of China(51509129);2017 Jiangsu University Blues Engineering Excellent Teaching Team~~

摘　　要：为了满足高校网络学习空间个性化的需求,提出了一种大型网络教学平台架构的设计方案。针对重点关注系统的开放性、智慧性、立体性、社会性、整合性等部分的设计,提出开放式学习资源的采集,开放式学习资源的智能组织、智能推荐等核心子架构的相关实现技术与体系,并在现有开源软件系统的基础上搭建了一个低成本、高可用、高并发、高可扩的通用架构。In order to meet the individualized requirements of university network learning space,a design scheme of large network teaching platform is proposed. To focus on the openness,smartness,three-dimensionalness,sociableness and integrativeness of the system,open learning resources collection and resources integrated for the intelligence organization and recommendation,the core substructure of related implementation technology and system were proposed. Based on the existing open source software system,a low cost,high availability,high concurrency and high extension general scheme of was implemented.

关 键 词：框架设计 资源采集 数据智能组织 智能组织 智能推荐 

分 类 号：TN311.5[电子电信—物理电子学]