Paper
23 May 2013 Consumer-oriented social data fusion: controlled learning in social environments, social advertising, and more
Author Affiliations +
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
L. Grewe "Consumer-oriented social data fusion: controlled learning in social environments, social advertising, and more", Proc. SPIE 8745, Signal Processing, Sensor Fusion, and Target Recognition XXII, 87451M (23 May 2013); https://doi.org/10.1117/12.2020177
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KEYWORDS
Social networks

Data analysis

Navigation systems

Medicine

Data fusion

Data mining

Associative arrays

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