Intelligent Internet searching agent based on hybrid simulated annealing

Christopher C. Yang, Jerome Yen, Hsinchun Chen

Research output: Contribution to journalArticle

43 Citations (Scopus)

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

Fingerprint

Simulated annealing
Internet
Spiders
World Wide Web
Agent-based
Annealing
Internet services

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Information Systems and Management

Cite this

Intelligent Internet searching agent based on hybrid simulated annealing. / Yang, Christopher C.; Yen, Jerome; Chen, Hsinchun.

In: Decision Support Systems, Vol. 28, No. 3, 05.2000, p. 269-277.

Research output: Contribution to journalArticle

Yang, Christopher C. ; Yen, Jerome ; Chen, Hsinchun. / Intelligent Internet searching agent based on hybrid simulated annealing. In: Decision Support Systems. 2000 ; Vol. 28, No. 3. pp. 269-277.
@article{bf875c98da834f38b7ffe4978deba215,
title = "Intelligent Internet searching agent based on hybrid simulated annealing",
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.",
author = "Yang, {Christopher C.} and Jerome Yen and Hsinchun Chen",
year = "2000",
month = "5",
doi = "10.1016/S0167-9236(99)00091-3",
language = "English (US)",
volume = "28",
pages = "269--277",
journal = "Decision Support Systems",
issn = "0167-9236",
publisher = "Elsevier",
number = "3",

}

TY - JOUR

T1 - Intelligent Internet searching agent based on hybrid simulated annealing

AU - Yang, Christopher C.

AU - Yen, Jerome

AU - Chen, Hsinchun

PY - 2000/5

Y1 - 2000/5

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0033736930&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033736930&partnerID=8YFLogxK

U2 - 10.1016/S0167-9236(99)00091-3

DO - 10.1016/S0167-9236(99)00091-3

M3 - Article

AN - SCOPUS:0033736930

VL - 28

SP - 269

EP - 277

JO - Decision Support Systems

JF - Decision Support Systems

SN - 0167-9236

IS - 3

ER -