Aleksandr Farseev, Ivan Samborskii, Tat-Seng Chua
<span title="">2016</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="" style="color: black;">Proceedings of the 2016 ACM on Multimedia Conference - MM &#39;16</a> </i> &nbsp;
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
more &raquo; ... 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.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="">doi:10.1145/2964284.2973836</a> <a target="_blank" rel="external noopener" href="">dblp:conf/mm/FarseevSC16</a> <a target="_blank" rel="external noopener" href="">fatcat:qp5fusg3tnhgdat4llmiu5lq3a</a> </span>
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