Tag Normalization and Prediction for Effective Social Media Retrieval

In this paper, we propose a tag normalization algorithm to unify the userspsila 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.