Information Technology Reference
In-Depth Information
Exploring the cross-network characteristics has broken the limitations in utilizing
heterogeneous social multimedia data. It will significantly expand the scope of user-
centric social multimedia computing in all three basic tasks.
Chapter 5 : Cross-network social multimedia computing. Social media is growing
explosively with the tremendous propagation of User-Generated Content (UGC),
which leads to the arrival of Big Data era. Of the famous Big Data “4Vs,” it is the
“variety” that holds themost potential for multimedia analysis. In the context of social
multimedia, the notion of “variety” maybe best embodied by the fact that the same
individual usually involveswith heterogeneous data in various social media networks.
In this chapter, we introduce our recent work as extensions to two of the basic tasks in
user-centric social multimedia computing: (1) From User: cross-network knowledge
association mining and (2) On User: cross-network user modeling.
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