EFFECTIVENESS OF INFORMATION RETRIEVAL METHODS

Abstract

Results of some fifty different retrieval methods applied in three experimental retrieval systems were subjected to the analysis suggested by statistical decision theory. The analysis validates a previously-proposed measure of effectiveness and demonstrates its several desirable properties. The examination of a wide range of data in relation to this one metric provides a clear and general assessment of the current state of the retrieval art, and shows that the art is still far from what might be considered a desirable state.

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Document Details

Document Type
Technical Report
Publication Date
Jun 15, 1967
Accession Number
AD0656340

Entities

People

  • John A. Swets

Organizations

  • BBN Technologies

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Computer Science
  • Computers
  • Data Science
  • Decision Theory
  • Hit Probabilities
  • Indexes
  • Information Retrieval
  • Information Science
  • Language
  • Massachusetts
  • Natural Languages
  • Network Science
  • Probability
  • Statistical Decision Theory
  • Statistics

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Information Retrieval
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Information Retrieval
  • AI & ML - Machine Learning Algorithms