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A new look at information retrieval evaluation: proposal for solutions.

Y Kagolovsky1, J R Moehr

  • 1School of Health Information Science, University of Victoria, P.O. Box 3050, Victoria, British Columbia, Canada V8W 3P5. ykagolov@uvic.ca

Journal of Medical Systems
|June 3, 2004
PubMed
Summary

This study applies a systems analytic approach to information retrieval (IR) evaluation. It proposes new methods for IR terminology, relevance assessment, and search engine analysis, offering improved evaluation strategies.

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Area of Science:

  • Information Science
  • Computer Science
  • Systems Analysis

Background:

  • Information retrieval (IR) faces challenges in terminology and evaluation.
  • Previous work identified these problems and proposed a systems analytic approach.
  • Existing IR evaluation methods, like recall and precision, have limitations.

Purpose of the Study:

  • To present a conceptual framework and models for IR evaluation using systems analysis.
  • To demonstrate how this framework can enhance IR terminology and relevance assessment.
  • To propose and compare novel approaches for evaluating relevance and search engines.

Main Methods:

  • Application of a systems analytic approach to information retrieval.
  • Development of a conceptual framework and two IR models.

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  • Analysis of relevance-based metrics (recall and precision).
  • Proposal and comparative evaluation of new relevance and search engine assessment methods.

    • Main Results:

    • The proposed framework and models offer solutions to IR terminology and evaluation problems.
    • New approaches for evaluating relevance relationships and search engines were developed.
    • The novel evaluation methods were compared against each other and existing techniques.
    • The study provides a comprehensive analysis of the systems analytic approach in IR.

    Conclusions:

    • The systems analytic approach provides a robust framework for improving IR evaluation.
    • The proposed methods offer advancements in assessing relevance and search engine performance.
    • This research contributes to the field of information retrieval by offering new evaluation strategies.
    • Future research directions in IR evaluation are identified.