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An Agent-Based Framework for E-Commerce Information Retrieval Management Using Genetic Algorithms

Author

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  • Floarea NASTASE
  • Radu Ioan MOGOS

Abstract

The paper addresses the issue of improving retrieval performance management for retrieval from document collections that exist on the Internet. It also comes with a solution that uses the benefits of the agent technology and genetic algorithms in the process of the information retrieving management. The most important paradigms of information retrieval are mentioned having the goal to make more evident the advantages of using the genetic algorithms based one. Within the paper, also a genetic algorithm that can be use for the proposed solution is detailed and a comparative description between the dynamic and static proposed solution is made. In the end, new future directions are shown based on elements presented in this paper. The future results look very encouraging.

Suggested Citation

  • Floarea NASTASE & Radu Ioan MOGOS, 2009. "An Agent-Based Framework for E-Commerce Information Retrieval Management Using Genetic Algorithms," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 13(4), pages 148-158.
    • Handle: RePEc:aes:infoec:v:13:y:2009:i:4:p:148-158
    as

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    References listed on IDEAS

    as
    1. Menezes, Flavio M., 2008. "An Introduction to Auction Theory," OUP Catalogue, Oxford University Press, number 9780199275991.
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