DocumentCode
2661583
Title
Catalogue personolization using distributed learning automata and Markov chain probability model
Author
Bazarganigilani, Mahdi
Author_Institution
Charles Sturt Univ., Melbourne, VIC, Australia
Volume
2
fYear
2010
fDate
3-5 Oct. 2010
Abstract
The huge amount of information of the web has caused problems for selecting their item. The only solution for this problem is to score the items and then sorting them according to their ranks. we filtered them in a catalogue and perform our tests with the different sizes of catalogues.
Keywords
Internet; Markov processes; cataloguing; electronic commerce; information filtering; learning automata; personal information systems; probability; sorting; Markov chain probability model; Web information; catalogue personalization; distributed learning automata; information filtering; item score; item selection; sorting; Computational modeling; Learning automata; Catalogue Personlization; Customer Requirement Classification; Distributed Learning Automata; Markov Chain Model; component;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Technology and Engineering (ICSTE), 2010 2nd International Conference on
Conference_Location
San Juan, PR
Print_ISBN
978-1-4244-8667-0
Electronic_ISBN
978-1-4244-8666-3
Type
conf
DOI
10.1109/ICSTE.2010.5608767
Filename
5608767
Link To Document