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Description
  • Většina informačních vyhledávacích systémů je založeno na Booleovském modelu. Kvalita těchto systémů se mění typicky pomocí dvou protichůdných kriterií přesnosti a úplnosti. Z toho vyplývá, že optimalizace vyhledávání v tomto systému je typicky multikriteriální optimalizační problém. V minulosti se při použití evolučních algoritmů obě kriteria kombinovala do jedné skalární funkce. Zde používáme genetický algoritmus speciálně pro optimalizaci booleovských dotazů nad fulltextovým informačním systémem. (cs)
  • Most of information retrieval systems depend on Boolean queries. The performance of an information retrieval sys tem is usually measured in terms of two different criteria, precision and recall. This way, the optimization of any of its components is a clear example of a multiobjective problem. However, although evolutionary algorithms have been widely applied in the information retrieval area, in all of these applications both criteria have been combined in a single scalar fitness function by means of a weighting scheme. In this paper, we deal with using of Genetic algorithms in Information retrieval specially in optimizing of a Boolean query.
  • Most of information retrieval systems depend on Boolean queries. The performance of an information retrieval sys tem is usually measured in terms of two different criteria, precision and recall. This way, the optimization of any of its components is a clear example of a multiobjective problem. However, although evolutionary algorithms have been widely applied in the information retrieval area, in all of these applications both criteria have been combined in a single scalar fitness function by means of a weighting scheme. In this paper, we deal with using of Genetic algorithms in Information retrieval specially in optimizing of a Boolean query. (en)
Title
  • Boolean Queries Optimization by Genetic Algorithms
  • Optimalizace booleovských dotazů pomocí genetických algoritmů (cs)
  • Boolean Queries Optimization by Genetic Algorithms (en)
skos:prefLabel
  • Boolean Queries Optimization by Genetic Algorithms
  • Optimalizace booleovských dotazů pomocí genetických algoritmů (cs)
  • Boolean Queries Optimization by Genetic Algorithms (en)
skos:notation
  • RIV/67985807:_____/05:00405639!RIV06-AV0-67985807
http://linked.open.../vavai/riv/strany
  • 395;410
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET100300414), Z(AV0Z10300504)
http://linked.open...iv/cisloPeriodika
  • -
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 514101
http://linked.open...ai/riv/idVysledku
  • RIV/67985807:_____/05:00405639
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • evolutionary algorithms; genetic algorithms; genetic programming; information retrieval; Boolean query (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [3EC73FA6AB37]
http://linked.open...i/riv/nazevZdroje
  • Neural Network World
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 15
http://linked.open...iv/tvurceVysledku
  • Húsek, Dušan
  • Snášel, Václav
  • Krömer, P.
  • Owais, S. S. J.
http://linked.open...n/vavai/riv/zamer
issn
  • 1210-0552
number of pages
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