Abstract
In this paper we propose a method for supporting consumer buying decisions in e-commerce. We are advocating the diversity-driven approach to generating alternatives for infrequently purchased products (i.e., computers, vehicles, etc.). Our method is based upon the well-known “divergence/convergence” principle of problem solving. The paper discusses the method based on fuzzy weighted-sum model and cluster analysis, the architecture and the operation of the decision support system for generating product alternatives. The preliminary experiments with the prototype for notebook selection provide some support in favor of our approach over the catalog-based systems.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
