Using Multiple Query Aspects to Build Test Collections without Human Relevance Judgments

  • Authors:
  • Miles Efron

  • Affiliations:
  • School of Information, University of Texas, Austin, TX 78712

  • Venue:
  • ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
  • Year:
  • 2009

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Abstract

Collecting relevance judgments (qrels) is an especially challenging part of building an information retrieval test collection. This paper presents a novel method for creating test collections by offering a substitute for relevance judgments. Our method is based on an old idea in IR: a single information need can be represented by many query articulations. We call different articulations of a particular need query aspects . By combining the top k documents retrieved by a single system for multiple query aspects, we build judgment-free qrels whose rank ordering of IR systems correlates highly with rankings based on human relevance judgments.