Title :
Intelligent profitable seller agent categorization and negotiation in E-Commerce by using data mining method
Author :
Mazumdar, Bireshwar Dass ; Mishra, Kamal Sheel ; Basak, Swati
Author_Institution :
Dept. of Comput. Sci., Sch. of Manage. Sci., Varanasi, Varanasi, India
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. This paper presents Data Mining (DM) based seller agent categorization and a multi-attribute negotiation approach for negotiation between buyer and seller agents of same category provided by DM result. The paper also described a multi-attribute based utility model which is based on the price, response-time, and quality. In support of the presented approach a prototype system providing negotiation between buyer agents and seller agents has been reported.
Keywords :
data mining; electronic commerce; multi-agent systems; CRM; MAS model; buyer agents; customer relation management; data mining method; e-commerce; intelligent profitable seller agent categorization; multi agent system model; multi-attribute based utility model; multi-attribute negotiation approach; price; quality; response-time; seller agents; Data mining; Data models; Delta modulation; Predictive models; Proposals; Time factors; B2C; C&RT; Data Mining (DM); E-Commerce agents; Multi-Agent; Negotiation;
Conference_Titel :
Recent Advances in Information Technology (RAIT), 2012 1st International Conference on
Conference_Location :
Dhanbad
Print_ISBN :
978-1-4577-0694-3
DOI :
10.1109/RAIT.2012.6194597
