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