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A Personal Agent for Bookmark Classification

  • In -Cheol Kim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2132)

Abstract

The World Wide Web has become a source of enormous amount of information. Most web browsers feature bookmarking facilities as a means to harness the vast web space. Users record the URLs of the sites for future visits with bookmarks, but the organization and maintenance of the bookmark file cost users time and cognitive work. A personal agent is an automated program to which users can delegate often tedious or sophisticated tasks. We implemented a learning agent called BClassifier using Naive Bayesian learning method and present the findings in this paper.

Keywords

Personal Agent User Profile Local Machine Future Visit Sophisticated Task 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • In -Cheol Kim
    • 1
  1. 1.Dept. of Computer ScienceKyonggi UniversitySuwonKorea

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