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Online microblogging services that have been increasingly used by people toshare and exchange information, have emerged as a promising way to profilingmultimedia contents, in a sense to provide users a socialized abstraction andunderstanding of these contents. In this paper, we propose a microbloggingprofiling framework, to provide a social demonstration of TV shows. Challengesfor this study lie in two folds: First, TV shows are generally offline, i.e.,most of them are not originally from the Internet, and we need to create aconnection between these TV shows with online microblogging services; Second,contents in a microblogging service are extremely noisy for video profiling,and we need to strategically retrieve the most related information for the TVshow profiling.To address these challenges, we propose a MAP, amicroblogging-assisted profiling framework, with contributions as follows: i)We propose a joint user and content retrieval scheme, which uses informationabout both actors and topics of a TV show to retrieve related microblogs; ii)We propose a social-aware profiling strategy, which profiles a video accordingto not only its content, but also the social relationship of its microbloggingusers and its propagation in the social network; iii) We present someinteresting analysis, based on our framework to profile real-world TV shows.

MAP: Microblogging Assisted Profiling of TV Shows