DocumentCode :
1893636
Title :
Cognitive parameters based seller agent selection in B2C E-Commerce
Author :
Mishra, Ravi Bhushan ; Mazumdar, Bireshwar Dass
Author_Institution :
Banaras Hindu Univ., Varanasi, India
fYear :
2010
fDate :
8-11 Nov. 2010
Firstpage :
1
Lastpage :
3
Abstract :
Multi agent system (MAS) model has been extensively used in the different tasks of E-Commerce such as customer relation management (CRM), negotiation and brokering. We have our objective in this paper to evaluate seller agent´s various cognitive parameters like capability, trust, and desire for selection of the best seller agent. The selection of the best seller agent from ordering queue, it helps for negotiation strategies to find out most profitable proposal by which both buyer and selected seller can get profit. In this work we have provided a logical cognitive model.
Keywords :
customer relationship management; electronic commerce; inference mechanisms; B2C e-commerce; best seller agent; brokering; cognitive parameters; customer relation management; logical cognitive model; multiagent system model; negotiation strategies; ordering queue; seller agent selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet Technology and Secured Transactions (ICITST), 2010 International Conference for
Conference_Location :
London
Print_ISBN :
978-1-4244-8862-9
Electronic_ISBN :
978-0-9564263-6-9
Type :
conf
Filename :
5678015
Link To Document :
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