A Personal Agent for Bookmark Classification

Authors:
In-Cheol Kim
Affiliations:
-
Venue:
PRIMA 2001 Proceedings of the 4th Pacific Rim International Workshop on Multi-Agents, Intelligent Agents: Specification, Modeling, and Applications
Year:
2001

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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.