Late Data Fusion for Microblog Search

Authors
Publication date 2013
Host editors
  • P. Serdyukov
  • P. Braslavski
  • S.O. Kuznetsov
  • J. Kamps
  • S. RĂ¼ger
  • E. Agichtein
  • I. Segalovich
  • E. Yilmaz
Book title Advances in Information Retrieval
Book subtitle 35th European Conference on IR Research, ECIR 2013, Moscow, Russia, March 24-27, 2013: proceedings
ISBN
  • 9783642369728
ISBN (electronic)
  • 9783642369735
Series Lecture Notes in Computer Science
Event 35th European Conference on Information Retrieval (ECIR'13)
Pages (from-to) 743-746
Publisher Heidelberg: Springer
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract 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.
Document type Conference contribution
Language English
Published at https://doi.org/10.1007/978-3-642-36973-5_74
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