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A visual preference-modeling and decision-support technique for buyers of multi-attribute products

We describe an intuitive, visual technique by which buyers of multi-attribute goods and services in electronic marketplaces can express their preferences, and receive real-time feedback about which transaction partners can most suitably meet their needs. Our work embodies a novel approach towards the visualization and conceptualization of multi-attribute spaces. Our system gives users the option of being able to iteratively refine their preferences based upon dynamically generated decision-support feedback.