Cross-Platform Social Event Detection

被引：6

作者：

Zaharieva, Maia ^{[1
,2
]}

Del Fabro, Manfred ^{[3
]}

Zeppelzauer, Matthias ^{[4
]}

机构：

[1] Univ Vienna, A-1010 Vienna, Austria

[2] Vienna Univ Technol, Vienna, Austria

[3] Klagenfurt Univ, Inst Informat Technol ITEC, Klagenfurt, Austria

[4] St Polten Univ Appl Sci, Inst Creat Media Technol, St Polten, Austria

来源：

IEEE MULTIMEDIA | 2015年 / 22卷 / 03期

关键词：

Big data; Cluster; Cross-platform media analysis; Data analysis; Internet/web technologies; Social event detection; Social multimedia;

D O I：

10.1109/MMUL.2015.31

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

An unsupervised, multistaged approach explores commonly available, real-world metadata to link social events across sharing platforms. Experiments evaluate the usefulness of available metadata in the context of social event detection in single-and cross-platform scenarios.

引用

页码：14 / 25

页数：12

共 15 条

[1]

[Anonymous], 2014, P 5 ACM MULT SYST C

[2]

[Anonymous], 2010, WSDM, DOI DOI 10.1145/1718487.1718524

[3]

[Anonymous], P 20 ACM INT C MULT

[4]

Becker Hila., 2012, Proceedings of the fifth ACM international conference on Web search and data mining, P533, DOI [10.1145/2124295.2124360, DOI 10.1145/2124295.2124360]

[5]

Brenner M., 2014, P ICMR WORKSH SOC EV

[6]

Liu X., 2011, P 1 ACM INT C MULT R

[7]

Manchon-Vizuete D., 2014, P ICMR WORKSH SOC EV

[8]

Nguyen T., 2013, P MEDIAEVAL BENCHM W

[9]

Nguyen T.- V. T., 2014, P ICMR WORKSH SOC EV

[10]

Petkos G., 2014, P ICMR WORKSH SOC EV

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