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User Modeling on Social Multimedia Activity

  • Jitao SangEmail author
Chapter
  • 411 Downloads
Part of the Springer Theses book series (Springer Theses)

Abstract

The increasing social multimedia activities conducted on multimedia sharing web sites reveal user attributes, such as age, gender, and personal interest, which have been exploited for user modeling, retrieval, and personalization. While existing user modeling solutions are devoted to inferring user attribute independently, in this chapter, we investigate the problem of relational user attribute inference. The task of attribute relation mining and user attribute inference are addressed in a unified framework.

Keywords

Attribute Relation User Profile Target Attribute User Feature User Attribute 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.National Lab of Pattern Recognition, Institute of AutomationChinese Academy of SciencesBeijingChina

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