Applying case-based reasoning and multi-agent intelligent system to context-aware comparative shopping

  • Authors:
  • Oh Byung Kwon;Norman Sadeh

  • Affiliations:
  • ISRI, School of Computer Science, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA;ISRI, School of Computer Science, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA

  • Venue:
  • Decision Support Systems
  • Year:
  • 2004

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Abstract

Comparative shopping is a promising web service in the field of mobile commerce. This paper aims to propose a context-aware comparative shopping. Multi-agent intelligent architecture is adopted to implement the autonomous negotiation mechanism between buyers and sellers. To automatically estimate user preferences to determine the best purchase, case-based reasoning and negotiation mechanism are utilized. We developed a prototype system and experiment to show the possibility of the mechanism proposed in this paper. We found that our mechanism with multi-agents yields more pay-off, total sales, and wins than the system without those features.