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PersonalSearcher: An Intelligent Agent for Searching Web Pages

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 1952)

Abstract

The volume of information on the Internet is constantly growing. This fact causes that the search of interesting information becomes a time- consuming task. Generally, a user must revise a big number of uninteresting documents and consult several search engines before finding relevant information. A personalized agent, called PersonalSearcher, that assists the user in finding interesting documents in the World Wide Web is presented in this paper. This agent carries out a parallel search in the most popular Web search engines and filters their result, listing to the user a reduced number of documents with high probability of being relevant to him. This filtering is based on a user profile that the agent builds by observing the user behavior on the Web. The agent uses a textual case-based reasoning approach in order to detect specific subjects that the user is interested in and organizes them in a hierarchy that defines the user profile.

Keywords

  • User Profile
  • Intelligent Agent
  • Software Agent
  • Travel Agent
  • Dynamic Classification

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/3-540-44399-1_6
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© 2000 Springer-Verlag Berlin Heidelberg

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Godoy, D., Amandi, A. (2000). PersonalSearcher: An Intelligent Agent for Searching Web Pages. In: Monard, M.C., Sichman, J.S. (eds) Advances in Artificial Intelligence. IBERAMIA SBIA 2000 2000. Lecture Notes in Computer Science(), vol 1952. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44399-1_6

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  • DOI: https://doi.org/10.1007/3-540-44399-1_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41276-2

  • Online ISBN: 978-3-540-44399-5

  • eBook Packages: Springer Book Archive