On test collections for adaptive information retrieval

  • Authors:

  • Ellen M. Voorhees

  • Affiliations:

  • National Institute of Standards and Technology, 100 Bureau Drive, STOP 8940, Gaithersburg, MD 20899-8940, USA

  • Venue:
  • Information Processing and Management: an International Journal
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

Traditional Cranfield test collections represent an abstraction of a retrieval task that Sparck Jones calls the ''core competency'' of retrieval: a task that is necessary, but not sufficient, for user retrieval tasks. The abstraction facilitates research by controlling for (some) sources of variability, thus increasing the power of experiments that compare system effectiveness while reducing their cost. However, even within the highly-abstracted case of the Cranfield paradigm, meta-analysis demonstrates that the user/topic effect is greater than the system effect, so experiments must include a relatively large number of topics to distinguish systems' effectiveness. The evidence further suggests that changing the abstraction slightly to include just a bit more characterization of the user will result in a dramatic loss of power or increase in cost of retrieval experiments. Defining a new, feasible abstraction for supporting adaptive IR research will require winnowing the list of all possible factors that can affect retrieval behavior to a minimum number of essential factors.