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In recent years, there has been an unprecedented increase in the creation and consumption of digital information. In addition, people are increasingly well connected on the Internet through some social network sites, blogs, wikis and mashups. Some popular networked media platforms such as Facebook, Flicker, YouTube and Twitter provide virtual platforms for all users to share their ideas, photos, videos and music, and all users are collaborating together to contribute to media production and sharing. In these networked media platforms, a large volume of users actively interact with each other, which not only influence each individual's behavior on information utilization, but also affect the system performance. To improve user experience and level of service, it is of ample importance to analyze the impact of social and human behavioral factors on networked media platforms. This environment presents clear challenges to conventional information retrieval research, which is based mainly on individual activities.
This workshop aims at presenting work focusing on two major topics: The first is to address the question on how multimedia content analysis can be combined with information derived from behavioral modeling and social interactions in order to improve personalized content distribution. The second relates to the way in which personalized services can be offered to users, in a real time, ubiquitous seamless and comprehensive way, through a comprehensive context framework that targets Quality of Experience rather than the traditionally sought Quality of Service.
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