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Proceedings Paper

Consumer-oriented social data fusion: controlled learning in social environments, social advertising, and more
Author(s): L. Grewe
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Paper Abstract

This paper explores the current practices in social data fusion and analysis as it applies to consumer-oriented applications in a slew of areas including business, economics, politics, sciences, medicine, education and more. A categorization of these systems is proposed and contributions to each area are explored preceded by a discussion of some special issues related to social data and networks. From this work, future paths of consumer-based social data analysis research and current outstanding problems are discovered.

Paper Details

Date Published: 23 May 2013
PDF: 20 pages
Proc. SPIE 8745, Signal Processing, Sensor Fusion, and Target Recognition XXII, 87451M (23 May 2013); doi: 10.1117/12.2020177
Show Author Affiliations
L. Grewe, California State Univ., East Bay (United States)

Published in SPIE Proceedings Vol. 8745:
Signal Processing, Sensor Fusion, and Target Recognition XXII
Ivan Kadar, Editor(s)

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