CASIA OpenIR
Big Data Collection and Analysis Framework Research for Public Digital Culture Sharing Service
]Guigang Zhang; Jian Wang; Weixing Huang; Haixia Su; Zhi Lv; Qi Yao; Shufeng Ye
2015
Conference Name2015 IEEE International Conference on Multimedia Big Data(IEEE BigMM 2015)
Conference Date20-22 April 2015
Conference PlaceBeijing, China
Abstract

The big data collection and analysis of public digital culture sharing service is researched in this paper. Big data includes three types of data, namely: ancillary service data, public digital culture sharing service platform operation data and user data. The aim is to build a data analysis platform for the three classes of data. Through the analysis of the three types of data collected, the use of resources and the operation of the platform can be mastered for providing better service for resource organization and scheduling of platform. Through the analysis of three types of the collected data, it can realize all kinds of statistics and analysis services in multidimensional. This paper presents a personalized recommender system of public digital cultural resources.

Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23827
Collection中国科学院自动化研究所
Affiliation中国科学院自动化研究所
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
]Guigang Zhang,Jian Wang,Weixing Huang,et al. Big Data Collection and Analysis Framework Research for Public Digital Culture Sharing Service[C],2015.
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