Customers agent sent into the network for shopping are always faced with some complex choices of products, prices and brands. This paper presents a supporting scheme to solve the problems faced by agent in decision making in purchasing online products. Our model consist consists of negotiating semantic for customer and merchant agent with possible advise in accordance to the user preferences and motivations. Investigations are made prior to the user's reactions to responses from the customer agent. A provision of decision trees indication merchant and customers view are also incorporated in the model. The results of the risk analysis with expected response shows that transaction risk reduces with increase in expected response.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.