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https://doi.org/10.1145/2964284.2973836
Title: | bBridge: A Big Data Platform for Social Multimedia Analytics | Authors: | Aleksandr Farseev Ivan Samborskii Tat-Seng Chua |
Keywords: | Cloud computing Community detection Multiple sources integration Stream analytics User profiling |
Issue Date: | 15-Oct-2016 | Publisher: | Association for Computing Machinery, Inc | Citation: | Aleksandr Farseev, Ivan Samborskii, Tat-Seng Chua (2016-10-15). bBridge: A Big Data Platform for Social Multimedia Analytics. ACM Multimedia Conference 2016 : 759-761. ScholarBank@NUS Repository. https://doi.org/10.1145/2964284.2973836 | Abstract: | In this technical demonstration, we propose a cloud-based Big Data Platform for Social Multimedia Analytics called bBridge [9] that automatically detects and profiles meaningful user communities in a specified geographical region, followed by rich analytics on communities' multimedia streams. The system executes a community detection approach that considers the ability of social networks to complement each other during the process of latent representation learning, while the community profiling is implemented based on the state-of-the-art multi-modal latent topic modeling and personal user profiling techniques. The stream analytics is performed via cloud-based stream analytics engine, while the multi-source data crawler deployed as a distributed cloud jobs. Overall, the bBridge platform integrates all the above techniques to serve both business and personal objectives. © 2016 Copyright held by the owner/author(s). | Source Title: | ACM Multimedia Conference 2016 | URI: | https://scholarbank.nus.edu.sg/handle/10635/167289 | ISBN: | 9781450336031 | DOI: | 10.1145/2964284.2973836 |
Appears in Collections: | Staff Publications Elements |
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A Big Data Platform for Social Multimedia Analytics.pdf | 2.17 MB | Adobe PDF | OPEN | None | View/Download |
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