TREC 2012 Microblog Track Experiments at Kobe University
KOBE UNIV (JAPAN)
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This paper describes our approach to real-time ad hoc task processing in the TREC 2012 Microblog track. The approach uses two-stage relevance feedback to model search interests and temporal dynamics on a microblog. The first relevance feedback uses a single user-selected tweet as feedback. The second approach uses time-based query expansion method leveraging the temporal property derived from the real-time feature on microblogging services. The experimentally obtained results demonstrate that our two-stage relevance feedback approaches improve search result relevance considerably.
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