An empirical study of query specificity

Authors
Publication date 2010
Host editors
  • C. Gurrin
  • Y. He
  • G. Kazai
  • U. Kruschwitz
  • S. Little
  • T. Roelleke
  • S. Rüger
  • K. van Rijsbergen
Book title Advances in Information Retrieval
Book subtitle 32nd European Conference on IR Research, ECIR 2010, Milton Keynes, UK, March 28-31, 2010: proceedings
ISBN
  • 9783642122743
ISBN (electronic)
  • 9783642122750
Series Lecture Notes in Computer Science
Event 32nd European Conference on Information Retrieval (ECIR 2010), Milton Keynes, UK
Pages (from-to) 594-597
Publisher Berlin: Springer
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract We analyse the statistical behavior of query-associated quantities in query-logs, namely, the sum and mean of IDF of query terms, otherwise known as query specificity and query mean specificity. We narrow down the possibilities for modeling their distributions to gamma, log-normal, or log-logistic, depending on query length and on whether the sum or the mean is considered. The results have applications in query performance prediction and artificial query generation.
Document type Conference contribution
Note Proceedings title: Advances in Information Retrieval: 32nd European Conference on IR Research (ECIR 2010)
Publisher: Springer
Language English
Published at https://doi.org/10.1007/978-3-642-12275-0_55
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