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dc.contributor.authorYang, Christopher C.
dc.contributor.authorYen, Jerome
dc.contributor.authorChen, Hsinchun
dc.date.accessioned2004-09-04T00:00:01Z
dc.date.available2010-06-18T23:48:25Z
dc.date.issued2000en_US
dc.date.submitted2004-09-04en_US
dc.identifier.citationIntelligent internet searching agent based on hybrid simulated annealing 2000, 28:269-277 Decision Support Systemsen_US
dc.identifier.urihttp://hdl.handle.net/10150/106492
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractThe 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.
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectInterneten_US
dc.subjectInformation Extractionen_US
dc.subject.otherNational Science Digital Libraryen_US
dc.subject.otherNSDLen_US
dc.subject.otherArtificial Intelligence laben_US
dc.subject.otherAI laben_US
dc.subject.otherInformation retrievalen_US
dc.subject.otherIntelligent agenten_US
dc.subject.otherSearching agenten_US
dc.subject.otherSimulated annealingen_US
dc.subject.otherWorld-wide Weben_US
dc.titleIntelligent internet searching agent based on hybrid simulated annealingen_US
dc.typeJournal Article (Paginated)en_US
dc.identifier.journalDecision Support Systemsen_US
refterms.dateFOA2018-08-15T23:34:59Z
html.description.abstractThe 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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