UCD SIFT in the TREC 2009 Web Track

Abstract

The SIFT (SIFT Information Fusion Techniques) group in UCD is dedicated to researching Data Fusion in Information Retrieval. This area of research involves the merging of multiple sets of results into a single result set that is presented to the user. As a means of evaluating the effectiveness of this work, the group entered Category B of the TREC 2009 Web Track. This paper discusses the strategies and experiments employed by the UCD SIFT group in entering the TREC Web Track 2009. This involved the use of freely-available Information Retrieval tools to provide inputs to the data fusion process, with the aim of contrasting with more sophisticated systems.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2009
Accession Number
ADA517686

Entities

People

  • David Lillis
  • Fergus Toolan
  • John Dunnion
  • Ling Lin
  • Rem W. Collier

Organizations

  • University College Dublin

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Computer Science
  • Data Fusion
  • Data Sets
  • Information Operations
  • Information Retrieval
  • Precision
  • Probability
  • Probability Distributions
  • Schools
  • Standards
  • Test And Evaluation
  • Training
  • Universities

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval