Efficient E-Commerce Agent Design Based on Clustering eBay Data

  • Authors:
  • Dionisis D. Kehagias;Pericles A. Mitkas

  • Affiliations:
  • -;-

  • Venue:
  • WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper we present the use of data mining techniques on data derived from eBay auctions in order to design a decision making mechanism for autonomous agents. These agents operate as parallel threads that concurrently receive data from multiple online auctions, where a specific item is traded. The agent objective is to select the auction, in which the traded item will be sold at the lowest price. Trading agents are armed with a real-time decision-making mechanism, adaptable to changes occurring in the auctions environment. The paper shows how a particular data mining technique can be incorporated into the design of trading agents and provides the theoretical basis of the agent decision mechanism.