Implementing GP on optimizing boolean and extended boolean queries in IRs with respect to users profiles

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F06%3A00021151" target="_blank" >RIV/61989100:27240/06:00021151 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Implementing GP on optimizing boolean and extended boolean queries in IRs with respect to users profiles
Original language description
Rapidly growing amount of data available on World Wide Web (WWW). Data as the ultimate collection of public accessible text documents complicates the task of acquiring usable and relevant information from raw data. Several of improvement methods and optimization in Information Retrieval (IR) systems (IRs) providing user interaction with WWW documents have been introduced and discussed. In this paper, theory and application of Genetic Programming (GP) was implemented as an optimization method of modern user oriented IR. And, Fuzzy IIIs (FIRS) was implemented through optimization of search queries.
Czech name
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Czech description
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Project
<a href="/en/project/1ET100300414" target="_blank" >1ET100300414: Intelligent methods for incresing of reliability of electrical networks</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2006
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
International Conference on Computer Engineering & Systems
ISBN
978-1-4244-0271-7
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Place of publication
NEW YORK
Event location
Cairo, EGYPT
Event date
Nov 5, 2006
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000245168200068

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