DocumentCode :
2463233
Title :
Implementing GP on Optimizing both Boolean and Extended Boolean Queries in IR and Fuzzy IR systems with Respect to the Users Profiles
Author :
Owais, Suhail ; Kromer, Pavel ; Snasel, Vdclav ; Husek, D. ; Neruda, Roman
Author_Institution :
Tech. univ. VSB Ostrava, Ostrava
fYear :
0
fDate :
0-0 0
Firstpage :
1499
Lastpage :
1505
Abstract :
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 optimization 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 optimization of search queries is presented.
Keywords :
Boolean algebra; Internet; fuzzy systems; genetic algorithms; information retrieval systems; query processing; World Wide Web; extended Boolean queries; fuzzy IR systems; genetic programming; information retrieval system; oriented IR systems optimization; public accessible text documents; search queries; Finite impulse response filter; Fuzzy logic; Fuzzy set theory; Fuzzy systems; Genetic programming; Information retrieval; Internet; Optimization methods; Uncertainty; World Wide Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9487-9
Type :
conf
DOI :
10.1109/CEC.2006.1688486
Filename :
1688486
Link To Document :
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