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A blue social bookmark and publication sharing system.

A personal agent for bookmark classification

by: In-Cheol Kim

In: Intelligent Agents: Specification, Modeling, and Applications. 4th Pacific Rim International Workshop on Multi-Agents, PRIMA 2001. Proceedings (Lecture Notes in Artificial Intelligence Vol.2132)Dept. of Comput. Sci., Kyonggi Univ., Suwon, South Korea: Springer-Verlag (2001) , p. 210--21.

Resources (URL, PDF, PS...)

URL:	link.springer.de/link/service/series/0558/bibs/2132/21320210.htm

Abstract

The World Wide Web has become a source of an 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 costs 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 the naive Bayesian learning method and we present our findings in this paper

BibTeX record

@inproceedings{kim01,
  address = {Dept. of Comput. Sci., Kyonggi Univ., Suwon, South Korea},
  author = {In-Cheol Kim},
  booktitle = {Intelligent Agents: Specification, Modeling, and Applications. 4th Pacific Rim International Workshop on Multi-Agents, PRIMA 2001. Proceedings (Lecture Notes in Artificial Intelligence Vol.2132)},
  editor = {Yuan S-T; Yokoo M},
  interHash = {70c896b0b91e2ea7f61ce4de1a63be88},
  intraHash = {e15a613eaf855dde524f502499cfad58},
  pages = {210--21},
  publisher = {Springer-Verlag},
  title = {A personal agent for bookmark classification},
  url = {link.springer.de/link/service/series/0558/bibs/2132/21320210.htm},
  year = {2001},
  lastdatemodified = {2005-08-07},
  longnotes = {Im Praesenzbestand der FAW-Bib: Standnummer: Frei 91: CA/0.0/1-2132},
  read = {read},
  lastname = {Kim},
  own = {own},
  abstract = {The World Wide Web has become a source of an 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 costs 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 the naive Bayesian learning method and we present our findings in this paper}
}

Endnote record

%0 Conference Paper
%A In-Cheol Kim
%B Intelligent Agents: Specification, Modeling, and Applications. 4th Pacific Rim International Workshop on Multi-Agents, PRIMA 2001. Proceedings (Lecture Notes in Artificial Intelligence Vol.2132)
%C Dept. of Comput. Sci., Kyonggi Univ., Suwon, South Korea
%D 2001
%E Yuan S-T; Yokoo M
%I Springer-Verlag
%K 
%P 210--21
%T A personal agent for bookmark classification
%U link.springer.de/link/service/series/0558/bibs/2132/21320210.htm
%X The World Wide Web has become a source of an 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 costs 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 the naive Bayesian learning method and we present our findings in this paper