Evolving, Analysing and Improving Global Term-Weighting Schemes in Information Retrieval

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@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