Title :
Catalogue personolization using distributed learning automata and Markov chain probability model
Author :
Bazarganigilani, Mahdi
Author_Institution :
Charles Sturt Univ., Melbourne, VIC, Australia
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;
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
DOI :
10.1109/ICSTE.2010.5608767
