Evolved term-weighting schemes in Information Retrieval: an analysis of the solution space
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- @Article{cummins:2007:AIR,
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author = "Ronan Cummins and Colm O'Riordan",
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title = "Evolved term-weighting schemes in Information
Retrieval: an analysis of the solution space",
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journal = "Artificial Intelligence Review",
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year = "2006",
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volume = "26",
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number = "1-2",
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pages = "35--47",
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month = oct,
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keywords = "genetic algorithms, genetic programming, Information
Retrieval, Term-weighting schemes",
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DOI = "doi:10.1007/s10462-007-9034-5",
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abstract = "Evolutionary computation techniques are increasingly
being applied to problems within Information Retrieval
(IR). Genetic programming (GP) has previously been used
with some success to evolve term-weighting schemes in
IR. However, one fundamental problem with the solutions
generated by this stochastic, non-deterministic
process, is that they are often difficult to analyse.
In this paper, we introduce two different distance
measures between the phenotypes (ranked lists) of the
solutions (term-weighting schemes) returned by a GP
process. Using these distance measures, we develop
trees which show how different solutions are clustered
in the solution space. We show, using this framework,
that our evolved solutions lie in a different part of
the solution space than two of the best benchmark
term-weighting schemes available.",
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notes = "Published online: 12 September 2007",
- }
Genetic Programming entries for
Ronan Cummins
Colm O'Riordan
Citations