Bayesian web document classification through optimizing association word
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
An object-oriented architecture for intelligent virtual receptionists
International Journal of Electronic Commerce - Special issue: Intelligent agents for electronic commerce
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As the World-Wide Web ( WWW) basedInternet services become more popular, informationoverload also becomes a pressing research problem.Difficulties with searching on Internet get worse asthe amount of information that available on the internetincreases. A scalable approach to support Internetsearch is critical to the success of Internet services andother current or future National Information Infrastructure(NII) applications. A new approach to buildintelligent personal spider (agent), which is based onautomatic textual analysis of Internet documents, isproposed in this paper. Best first search and geneticalgorithm have been tested to develop the intelligentspider. These personal spiders are able to dynamicallyand intelligently analyze the contents of the users selectedhomepages as the starting point to search forthe most relevant homepages based on the links andindexing.An intelligent spider must have the capability tomake adjustments according to progress of searchingin order to be an intelligent agent. However, the currentsearching engines do not have the communicationbetween the users and the robots. The spiderpresented in this paper use Java to develop the userinterface such that the users can adjust the controlparameters according to the progress and observe theintermediate results. The performances of the geneticalgorithm based and best first search based spiders arealso reported.