Implementing GP on Optimizing both, Boolean and Extended Boolean Queries in IR and Fuzzy IR systems with Respect to the Users Profiles

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F06%3A00021144" target="_blank" >RIV/61989100:27240/06:00021144 - 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 both, Boolean and Extended Boolean Queries in IR and Fuzzy IR systems with Respect to the Users Profiles
Original language description
Rapidly growing amount of the data available on World Wide Web (WWW) as the ultimate collection of public accessible text documents complicates the task of acquiring usable and relevant information from raw data. Several methods of improvement and optimisation of Information Retrieval (IR) systems providing user interaction with WWW documents have been introduced and discussed. In this paper, theory and application of Genetic Programming (GP) as an optimization method of modern user oriented IR and fuzzy IR (FIR) systems optimisation of search queries is presented.
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
2006 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-6
ISBN
978-0-7803-9487-2
ISSN
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e-ISSN
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Number of pages
7
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
Vancouver, CANADA
Event date
Jun 23, 2006
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000245414202052

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