A survey of pre-retrieval query performance predictors

C. Hauff, Djoerd Hiemstra, Franciska M.G. de Jong

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

119 Citations (Scopus)
20 Downloads (Pure)


The focus of research on query performance prediction is to predict the effectiveness of a query given a search system and a collection of documents. If the performance of queries can be estimated in advance of, or during the retrieval stage, specific measures can be taken to improve the overall performance of the system. In particular, pre-retrieval predictors predict the query performance before the retrieval step and are thus independent of the ranked list of results; such predictors base their predictions solely on query terms, the collection statistics and possibly external sources such as WordNet. In this poster, 22 pre-retrieval predictors are categorized and assessed on three different TREC test collections.
Original languageUndefined
Title of host publicationCIKM '08: Proceeding of the 17th ACM conference on Information and knowledge mining
Place of PublicationNapa Valley, California, USA
PublisherAssociation for Computing Machinery
Number of pages2
ISBN (Print)978-1-59593-991-3
Publication statusPublished - 2008
Event17th ACM Conference on Information and Knowledge Management, CIKM 2008 - Napa Valley, United States
Duration: 26 Oct 200830 Oct 2008
Conference number: 17

Publication series



Conference17th ACM Conference on Information and Knowledge Management, CIKM 2008
Abbreviated titleCIKM
Country/TerritoryUnited States
CityNapa Valley


  • IR-62542
  • CR-H.3.3
  • METIS-252113
  • EWI-14113

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