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