Overview of the INEX 2010 Focused Relevance Feedback Track

  • Timothy Chappell
  • Shlomo Geva
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6932)


The INEX 2010 Focused Relevance Feedback track offered a refined approach to the evaluation of Focused Relevance Feedback algorithms through simulated exhaustive user feedback. As in traditional approaches we simulated a user-in-the loop by re-using the assessments of ad-hoc retrieval obtained from real users who assess focused ad-hoc retrieval submissions.

The evaluation was extended in several ways: the use of exhaustive relevance feedback over entire runs; the evaluation of focused retrieval where both the retrieval results and the feedback are focused; the evaluation was performed over a closed set of documents and complete focused assessments; the evaluation was performed over executable implementations of relevance feedback algorithms; and finally, the entire evaluation platform is reusable.

We present the evaluation methodology, its implementation, and experimental results obtained for nine submissions from three participating organisations.


Average Precision Relevance Feedback Indian Statistical Institute Relevant Passage Focus Result 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Timothy Chappell
    • 1
  • Shlomo Geva
    • 1
  1. 1.Queensland University of TechnologyAustralia

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