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Intelligent internet searching agent based on hybrid simulated annealing
Journal article   Open access   Peer reviewed

Intelligent internet searching agent based on hybrid simulated annealing

Christopher C. Yang, Jerome Yen and Hsinchun Chen
Decision Support Systems, v 28(3), 269
01 May 2000
url
https://doi.org/10.1016/s0167-9236(99)00091-3View
Published, Version of Record (VoR)Open Access (License Unspecified) Open

Abstract

Information retrieval Intelligent agent Searching agent Simulated annealing World-wide Web
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.

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Operations Research & Management Science
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