Evolving, Analysing and Improving Global Term-Weighting Schemes in Information Retrieval
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @TechReport{Cummins:2004:071204,
-
author = "Ronan Cummins and Colm O'Riordan",
-
title = "Evolving, Analysing and Improving Global
Term-Weighting Schemes in Information Retrieval",
-
institution = "National University of Ireland, Galway",
-
year = "2004",
-
type = "Technical Report",
-
number = "NUIG-IT-071204",
-
address = "Ireland",
-
keywords = "genetic algorithms, genetic programming, information
retrieval, term-weighting",
-
URL = "http://www.it.nuigalway.ie/Publications/TR/abstracts/NUIG-IT-071204.pdf",
-
abstract = "The ability of a term to distinguish documents, and
ultimately topics, is crucial to the performance of
many Information Retrieval models. We present and
analyse global weighting schemes for the vector space
model developed by means of evolutionary computation.
The global schemes presented are shown to increase
average precision over the IDF measure on TREC data.
The global schemes are also shown to be consistent with
Luhns theory of resolving power as certain middle
frequency terms are assigned the highest weight. The
use of the collection frequency measure of a term is
seen as crucial to the performance of these schemes. We
also show that the analysis of these evolved schemes is
an important step to understanding and improving their
performance.",
-
notes = "25 January 2005",
-
size = "11 pages",
- }
Genetic Programming entries for
Ronan Cummins
Colm O'Riordan
Citations