paper_97

This document proposes a framework for modeling tagging systems and user tagging behavior to combat tag spam. It introduces methods for ranking documents matching a tag based on taggers' reliability. The authors study how existing approaches perform under malicious attacks and the impact of moderation. They define models of good and bad tagging behavior to simulate tag spam and evaluate different query answering schemes and moderator strategies.