A method to predict social annotations

Authors:
Ming-Hung Hsu;Hsin-Hsi Chen
Affiliations:
National Taiwan University, Taipei, Taiwan Roc;National Taiwan University, Taipei, Taiwan Roc
Venue:
Proceedings of the 17th ACM conference on Information and knowledge management
Year:
2008

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Abstract

This paper predicts the stabilized tag set of a resource, with feedback of a small amount of user annotations, aiming to reduce the requirement of sufficient user annotations and to resolve the cold-start problem in a social annotation system.