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Content Provider | IEEE Xplore Digital Library |
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Author | Guigang Zhang Jian Wang Weixin Huang Haixia Su Zhi Lv Qi Yao Shufeng Ye |
Copyright Year | 2015 |
Description | Author affiliation: Inst. of Autom., Beijing, China (Guigang Zhang; Jian Wang; Weixin Huang; Haixia Su; Zhi Lv; Qi Yao; Shufeng Ye) |
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. |
Starting Page | 196 |
Ending Page | 199 |
File Size | 274355 |
Page Count | 4 |
File Format | |
e-ISBN | 9781479986880 |
DOI | 10.1109/BigMM.2015.37 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-04-20 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Cloud Computing Conferences Big data Multimedia communication Public Culture Framework |
Content Type | Text |
Resource Type | Article |
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