Intelligent Internet searching agent based on hybrid simulated annealing

Christopher C. Yang, Jerome Yen, Hsinchun Chen

Research output: Contribution to journalArticle

43 Scopus citations

Abstract

The World-Wide Web (WWW) based Internet services have become a major channel for information delivery. For the same reason, information overload also has become a serious problem to the users of such services. It has been estimated that the amount of information stored on the Internet doubled every 18 months. The speed of increase of homepages can be even faster, some people estimated that it doubled every 6 months. Therefore, a scalable approach to support Internet searching is critical to the success of Internet services and other current or future National Information Infrastructure (NII) applications. In this paper, we discuss a modified version of simulated annealing algorithm to develop an intelligent personal spider (agent), which is based on automatic textual analysis of the Internet documents and hybrid simulated annealing.

Original languageEnglish (US)
Pages (from-to)269-277
Number of pages9
JournalDecision Support Systems
Volume28
Issue number3
DOIs
StatePublished - May 2000

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Information Systems and Management

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