The Co-Effects of Query Structure and Expansion on RetrievalPerformance in Probabilistic Text Retrieval

  • Authors:
  • Jaana KekäläInen;Kalervo Järvelin

  • Affiliations:
  • Department of Information Studies, University of Tampere, Finland;Department of Information Studies, University of Tampere, Finland

  • Venue:
  • Information Retrieval
  • Year:
  • 2000

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Abstract

The effects of query structures and query expansion (QE) onretrieval performance were tested with a best match retrieval system(InQuery^1). Query structure means the use ofoperators to express the relations between search keys. Six differentstructures were tested, representing strong structures (e.g., querieswith facets or concepts identified) and weak structures (no conceptsidentified, a query is ‘a bag of search keys’). QE was based onconcepts, which were first selected from a searching thesaurus, andthen expanded by semantic relationships given in the thesaurus. Theexpansion levels were (a) no expansion, (b) a synonym expansion, (c)a narrower concept expansion, (d) an associative concept expansion,and (e) a cumulative expansion of all other expansions. With weakstructures and Boolean structured queries, QE was not veryeffective. The best performance was achieved with a combination of afacet structure, where search keys within a facet were treated asinstances of one search key (the SYN operator), and the largestexpansion.