Incorporating query expansion and quality indicators in searching microblog posts

  • Authors:
  • Kamran Massoudi;Manos Tsagkias;Maarten de Rijke;Wouter Weerkamp

  • Affiliations:
  • ISLA, University of Amsterdam, Amsterdam, The Netherlands;ISLA, University of Amsterdam, Amsterdam, The Netherlands;ISLA, University of Amsterdam, Amsterdam, The Netherlands;ISLA, University of Amsterdam, Amsterdam, The Netherlands

  • Venue:
  • ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
  • Year:
  • 2011

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Abstract

We propose a retrieval model for searching microblog posts for a given topic of interest. We develop a language modeling approach tailored to microblogging characteristics, where redundancy-based IR methods cannot be used in a straightforward manner. We enhance this model with two groups of quality indicators: textual and microblog specific. Additionally, we propose a dynamic query expansion model for microblog post retrieval. Experimental results on Twitter data reveal the usefulness of boolean search, and demonstrate the utility of quality indicators and query expansion in microblog search