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E.Coli Search: Self Replicating Agents for Web Based Information Retrieval

  • Derrick Takeshi Mirikitani
  • Ibrahim Kushchu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2690)

Abstract

Although search engines are often used for information retrieval (IR) from the World Wide Web (WWW), current search engine technology seems obsolete. The quality of query results from today’s search engines is unacceptable, creating a demand for new information search and retrieval techniques. The conventional IR methods often lack the flexibility to adapt to changes in the content of the WWW. This paper presents an overview of new developments in evolutionary and adaptive IR and proposes a system (E.Coli search) where an adaptive population of intelligent agents forage the web in search of relevant documents.

Keywords

Information Retrieval evolutionary adaptive agents World Wide Web 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Derrick Takeshi Mirikitani
    • 1
  • Ibrahim Kushchu
    • 1
  1. 1.GSIMInternational University of JapanNiigataJAPAN

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