Crowdsourcing for information retrieval: introduction to the special issue

  • Authors:
  • Matthew Lease;Emine Yilmaz

  • Affiliations:
  • School of Information, University of Texas at Austin, Austin, USA;Microsoft Research, Cambridge, UK and Koc University, Istanbul, Turkey

  • Venue:
  • Information Retrieval
  • Year:
  • 2013

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Abstract

This introduction to the special issue summarizes and contextualizes six novel research contributions at the intersection of information retrieval (IR) and crowdsourcing (also overlapping crowdsourcing's closely-related sibling, human computation). Several of the papers included in this special issue represent deeper investigations into research topics for which earlier stages of the authors' research were disseminated at crowdsourcing workshops at SIGIR and WSDM conferences, as well as at the NIST TREC conference. Since the first proposed use of crowdsourcing for IR in 2008, interest in this area has quickly accelerated and led to three workshops, an ongoing NIST TREC track, and a great variety of published papers, talks, and tutorials. We briefly summarize the area in order to help situate the contributions appearing in this special issue. We also discuss some broader current trends and issues in crowdsourcing which bear upon its use in IR and other fields.