中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Public Cultural Services Recommendation System Architecture

文献类型:会议论文

作者Shufeng Ye1,2; Yi Yang1; Weixing Huang1; Jian Wang1; Guigang Zhang1
出版日期2017
会议日期2017.
会议地点Prague, Czech Republic
关键词Representational State Transfer Cloud Platform Recommended System Resource Json
页码pp:404-409
英文摘要Public cultural sharing service plays an important role in the public cultural platform. The recommender systems can bring users useful cultural resources and information. For safety and security reasons of the cultural resources, the external applications are not allowed to directly access the original resource data stored in the cultural databases by sending recommendation requests. The cultural recommender system needs a way to isolate the cultural resources from the outside while keeping the recommendation services. To address this issue, this paper proposes Representational State Transfer (REST)-based architecture of the cultural recommender system that can provide loosely coupled structures for system modules while maintaining the security access of the cultural resources.
语种英语
源URL[http://ir.ia.ac.cn/handle/173211/15477]  
专题数字内容技术与服务研究中心_智能技术与系统工程
通讯作者Jian Wang
作者单位1.Institute of Automation, Chinese Academy of Sciences, Beijing China
2.School of Computer and Control Engineering, University of Chinese Academy of Sciences
推荐引用方式
GB/T 7714
Shufeng Ye,Yi Yang,Weixing Huang,et al. Public Cultural Services Recommendation System Architecture[C]. 见:. Prague, Czech Republic. 2017..

入库方式: OAI收割

来源:自动化研究所

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