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http://dx.doi.org/10.12673/jant.2018.22.6.670

Cultural Region-based Clustering of SNS Big Data and Users Preferences Analysis  

Rho, Seungmin (Department of Media Software, Sungkyul University)
Publication Information
Journal of Advanced Navigation Technology / v.22, no.6, 2018 , pp. 670-674 More about this Journal
Abstract
Social network service (SNS) related data including comments/text, images, videos, blogs, and user experiences contain a wealth of information which can be used to build recommendation systems for various clients' and provide insightful data/results to business analysts. Multimedia data, especially visual data like image and videos are the richest source of SNS data which can reflect particular region, and cultures values/interests, form a gigantic portion of the overall data. Mining such huge amounts of data for extracting actionable intelligence require efficient and smart data analysis methods. The purpose of this paper is to focus on this particular modality for devising ways to model, index, and retrieve data as and when desired.
Keywords
Cultural clustering; Deep learning; Personal preferences; SNS;
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