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Indexing and profiling (1997) 0.03

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LaMacchia, B.A.: ¬The Internet Fish construction Kit (1997) 0.02

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Date: 1. 8.1996 22:08:06
17. 1.1999 20:22:46

Imam, I.F.; Kodratoff, Y.: Intelligent adaptive agents (1997) 0.01

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Date: 22. 1.1999 18:46:03

Tambe, M.; Gmytrasiewicz, P.: AAAI-96 Workshop on Intelligent Modeling (1997) 0.01

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Date: 22. 1.1999 18:50:30

Krulwich, B.; Burkey, C.: ¬The InfoFinder agent : learning user interests through heuristic phrase extraction (1997) 0.01

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Source: IEEE expert. 12(1997) no.5, S.22-27

Kurzke, C.; Galle, M.; Bathelt, M.: WebAssistant : a user profile specific information retrieval assistant (1998) 0.01

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Date: 1. 8.1996 22:08:06

Cheung, D.W.; Kao, B.; Lee, J.: Discovering user access patterns on the World Wide Web (1998) 0.01

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Footnote: Contribution to a special issue of selected papers from the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'97), held Singapore, 22-23 Feb 1997

Ngu, D.S.W.; Wu, X.: SiteHelper : a localized agent that helps incremental exploration of the World Wide Web (1997) 0.01

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Date: 1. 8.1996 22:08:06

Juhne, J.; Jensen, A.T.; Gronbaek, K.: Ariadne: a Java-based guided tour system for the World Wide Web (1998) 0.01

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Date: 1. 8.1996 22:08:06

Lieberman, H.: Personal assistants for the Web : an MIT perspective (1999) 0.01

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Date: 7. 8.1999 11:22:55

Chen, H.; Chung, Y.-M.; Ramsey, M.; Yang, C.C.: ¬A smart itsy bitsy spider for the Web (1998) 0.01
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Abstract

As part of the ongoing Illinois Digital Library Initiative project, this research proposes an intelligent agent approach to Web searching. In this experiment, we developed 2 Web personal spiders based on best first search and genetic algorithm techniques, respectively. These personal spiders can dynamically take a user's selected starting homepages and search for the most closely related homepages in the Web, based on the links and keyword indexing. A graphical, dynamic, Jav-based interface was developed and is available for Web access. A system architecture for implementing such an agent-spider is presented, followed by deteiled discussions of benchmark testing and user evaluation results. In benchmark testing, although the genetic algorithm spider did not outperform the best first search spider, we found both results to be comparable and complementary. In user evaluation, the genetic algorithm spider obtained significantly higher recall value than that of the best first search spider. However, their precision values were not statistically different. The mutation process introduced in genetic algorithms allows users to find other potential relevant homepages that cannot be explored via a conventional local search process. In addition, we found the Java-based interface to be a necessary component for design of a truly interactive and dynamic Web agent

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