An intelligent shopping agent for optimal purchasing decision on the Semantic Web

Abstract

Shopping in the Internet does not proceed smoothly as customers xpect currently. In particular customers have many obstacles in finding an optimal combination of products and shopping malls to minimize the total purchasing cost. To solve such problems, this paper proposes a new framework of an intelligent shopping agent based on the Semantic Web and the Integer Programming technologies. Starting from the search of products, it will show how to build an intelligent agent by using concepts of the Semantic Web and how to connect information to formulating and solving an optimization problem to achieve a customer's goal. © Springer-Verlag Berlin Heidelberg 2006.