An intelligent, mobile information system to aid in-store purchase decision making

  • Authors:
  • Hendrik Fischer;Walter D. Potter

  • Affiliations:
  • Artificial Intelligence Center, University of Georgia, Athens, GA;Artificial Intelligence Center, University of Georgia, Athens, GA

  • Venue:
  • CIMMACS'05 Proceedings of the 4th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
  • Year:
  • 2005

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Abstract

Mobile consumer decision support is an emerging application domain for decision support systems. This paper describes the development of an intelligent, mobile decision support system that facilitates the task of product research for consumers on the go. It can be used on any mobile device and enables the customer to access valuable facts about a product when needed most - while being in a retail environment struggling with information overload. The software not only has to be able to identify appropriate recommendations and advice for each individual user, it is also used to reason with the huge amount of data found on the Internet, and in doing so must be able to retrieve specifically the information that is considered important to the customer in supporting his or her decision making.