Big Data Collection and Analysis Framework Research for Public Digital Culture Sharing Service

Author

Guigang Zhang ; Jian Wang ; Weixin Huang ; Haixia Su ; Zhi Lv ; Qi Yao ; Shufeng Ye

Author_Institution

Inst. of Autom., Beijing, China

fYear

2015

fDate

20-22 April 2015

Firstpage

196

Lastpage

199

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.

Keywords

Big Data; cultural aspects; data analysis; peer-to-peer computing; social sciences computing; Big Data analysis; Big Data collection; ancillary service data; personalized recommender system; platform scheduling; public digital culture sharing service platform operation data; resource organization; user data; Big data; Conferences; Multimedia communication; Cloud Computing; Framework; Public Culture; big data;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Big Data (BigMM), 2015 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4799-8687-3

Type

conf

DOI

10.1109/BigMM.2015.37

Filename

7153877