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  • × author_ss:"Krulwich, B."
  • × theme_ss:"Web-Agenten"
  1. Krulwich, B.; Burkey, C.: ¬The InfoFinder agent : learning user interests through heuristic phrase extraction (1997) 0.03
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    Abstract
    Introduces the InfoFinder agent, which uses innovative approaches for learning user information interests from sets of messages or other online documents that users have classified. It learns general profiles from documents by heuristically extracting phrases that are likely to represent the document's topis
    Footnote
    Contribution to a special track on artificial intelligence assisted browsing
    Source
    IEEE expert. 12(1997) no.5, S.22-27
    Type
    a
  2. Krulwich, B.; Burkey, C.: Jack and the InfoFinder agent (1997) 0.01
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    Abstract
    The InfoFinder agent learnes profiles of user interests from sample documents submitted by the user while browsing, without requiring the user to complete a questionnaire about interests in various documents. It learns general profiles from the documents by heuristically extracting phrases from the documents taht are likely to represent the topic of the document. Its learning algorithm generates a search tree, which is then translated into a Boolean search string for submission to a generic search engine. It sends the user regular updates on documents without requiring the user to take the initiative to access the agent
    Source
    New review of information networking. 1997, no.3, S.213-221
    Type
    a