Adaptive temporal query modeling

Authors
Publication date 2012
Host editors
  • R. Baeza-Yates
  • A.P. de Vries
  • H. Zaragoza
  • B.B. Cambazoglu
  • V. Murdock
  • R. Lempel
  • F. Silvestri
Book title Advances in Information Retrieval
Book subtitle 34th European Conference on IR Research, ECIR 2012, Barcelona, Spain, April 1-5, 2012: proceedings
ISBN
  • 9783642289965
ISBN (electronic)
  • 9783642289972
Series Lecture Notes in Computer Science
Event 34th European Conference on Information Retrieval (ECIR 2012)
Pages (from-to) 455-458
Publisher Heidelberg: Springer
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract We present an approach to query modeling that uses the temporal distribution of documents in an initially retrieved set of documents. Such distributions tend to exhibit bursts, especially in news-related document collections. We hypothesize that documents in those bursts are more likely to be relevant and update the query model with the most distinguishing terms in high-quality documents sampled from bursts. We evaluate the effectiveness of our models on a test collection of blog posts.
Document type Conference contribution
Language English
Published at https://doi.org/10.1007/978-3-642-28997-2_40
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