Bringing Why-QA to Web Search

  • Suzan Verberne
  • Lou Boves
  • Wessel Kraaij
Conference paper

DOI: 10.1007/978-3-642-20161-5_48

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6611)
Cite this paper as:
Verberne S., Boves L., Kraaij W. (2011) Bringing Why-QA to Web Search. In: Clough P. et al. (eds) Advances in Information Retrieval. ECIR 2011. Lecture Notes in Computer Science, vol 6611. Springer, Berlin, Heidelberg

Abstract

We investigated to what extent users could be satisfied by a web search engine for answering causal questions. We used an assessment environment in which a web search interface was simulated. For 1 401 why-queries from a search engine log we pre-retrieved the first 10 results using Bing. 311 queries were assessed by human judges. We found that even without clicking a result, 25.2% of the why-questions is answered on the first result page. If we count an intended click on a result as a vote for relevance, then 74.4% of the why-questions gets at least one relevant answer in the top-10. 10% of why-queries asked to web search engines are not answerable according to human assessors.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Suzan Verberne
    • 1
  • Lou Boves
    • 1
  • Wessel Kraaij
    • 1
  1. 1.Centre for Language Studies / Institute for Computing and Information SciencesRadboud UniversityNijmegenThe Netherlands

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