CASIA OpenIR  > 数字内容技术与服务研究中心  > 智能技术与系统工程
Public Cultural Services Recommendation System Architecture
Shufeng Ye1,2; Yi Yang1; Weixing Huang1; Jian Wang1; Guigang Zhang1
2017
Conference Name2017 IEEE International Conference on Software Quality, Reliability and Security (Companion Volume)
Pagespp:404-409
Conference Date2017.
Conference PlacePrague, Czech Republic
AbstractPublic 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.
KeywordRepresentational State Transfer Cloud Platform Recommended System Resource Json
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/15477
Collection数字内容技术与服务研究中心_智能技术与系统工程
Corresponding AuthorJian Wang
Affiliation1.Institute of Automation, Chinese Academy of Sciences, Beijing China
2.School of Computer and Control Engineering, University of Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Shufeng Ye,Yi Yang,Weixing Huang,et al. Public Cultural Services Recommendation System Architecture[C],2017:pp:404-409.
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