Extending Term Suggestion with Author Names

  • Philipp Schaer
  • Philipp Mayr
  • Thomas Lüke
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7489)

Abstract

Term suggestion or recommendation modules can help users to formulate their queries by mapping their personal vocabularies onto the specialized vocabulary of a digital library. While we examined actual user queries of the social sciences digital library Sowiport we could see that nearly one third of the users were explicitly looking for author names rather than terms. Common term recommenders neglect this fact. By picking up the idea of polyrepresentation we could show that in a standardized IR evaluation setting we can significantly increase the retrieval performances by adding topical-related author names to the query. This positive effect only appears when the query is additionally expanded with thesaurus terms. By just adding the author names to a query we often observe a query drift which results in worse results.

Keywords

Term Suggestion Query Suggestion Evaluation Digital Libraries Query Expansion Polyrepresentation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Philipp Schaer
    • 1
  • Philipp Mayr
    • 1
  • Thomas Lüke
    • 1
  1. 1.GESIS – Leibniz Institute for the Social SciencesCologneGermany

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