Getting What You Want: Accurate Document Filtering in a Terabyte World

Abstract

This document describes information retrieval research techniques to users who are interested in receiving filtered information for specific topics or domains. The research includes techniques for setting document filtering thresholds, for adaptive learning and for filtering based upon user feedback in order to refine the document filtering process.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2002
Accession Number
ADA409665

Entities

People

  • Jamie Callan

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Accuracy
  • Air Force Research Laboratories
  • Algorithms
  • Bayes Theorem
  • Computational Complexity
  • Computers
  • Data Mining
  • Gaussian Distributions
  • Heuristic Methods
  • Information Retrieval
  • Information Science
  • Machine Learning
  • Maximum Likelihood Estimation
  • Operating Systems
  • Probabilistic Models
  • Probability
  • Statistics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aerospace Test and Evaluation
  • Distributed Systems and Data Platform Development

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval