Tag Normalization and Prediction for Effective Social Media Retrieval

  • Authors:
  • Ming-Hung Hsu;Hsin-Hsi Chen

  • Affiliations:
  • -;-

  • Venue:
  • WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
  • Year:
  • 2008

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Abstract

In this paper, we propose a tag normalization algorithm to unify the users’ annotations. Meanwhile, we explore some general phenomena in a social annotation system and propose a supervised tag prediction model to predict the stabilized tag set of a resource, with feedback of a small amount of user annotation records. The experiments show that a large potion of the stabilized tag set is predicted, and it is feasible to reduce the requirement of sufficient user annotations in the applications of social annotations.