Intelligent Internet searching engine based on hybrid simulated annealing

Christopher C. Yang, Jerome Yen, Hsinchun Chen

Research output: Contribution to journalConference article

5 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 home pages can be even faster, some people estimated that it doubled every six 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 using 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)415-422
Number of pages8
JournalProceedings of the Hawaii International Conference on System Sciences
Volume4
StatePublished - Jan 1 1998
Externally publishedYes
EventProceedings of the 1998 31st Annual Hawaii International Conference on System Sciences. Part 1 (of 7) - Big Island, HI, USA
Duration: Jan 6 1998Jan 9 1998

ASJC Scopus subject areas

  • Computer Science(all)

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