Late Data Fusion for Microblog Search

  • Shangsong Liang
  • Maarten de Rijke
  • Manos Tsagkias
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7814)


The character of microblog environments raises challenges for microblog search because relevancy becomes one of the many aspects for ranking documents. We concentrate on merging multiple ranking strategies at post-retrieval time for the TREC Microblog task. We compare several state-of-the-art late data fusion methods, and present a new semi-supervised variant that accounts for microblog characteristics. Our experiments show the utility of late data fusion in microblog search, and that our method helps boost retrieval effectiveness.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Shangsong Liang
    • 1
  • Maarten de Rijke
    • 1
  • Manos Tsagkias
    • 1
  1. 1.ISLAUniversity of AmsterdamThe Netherlands

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