BClassifier: a personal agent for bookmark classification

Author

Myoung, Soon-Hee ; Choi, Jung-Min ; Kim, In-Cheol

Author_Institution

Dept. of Comput. Sci., Kyonggi Univ., South Korea

fYear

2001

fDate

2001

Firstpage

713

Lastpage

718

Abstract

For the study of software systems helping users reduce personal tasks, we implemented an agent, called BClassifier, which classifies bookmarks on behalf of the user. The BClassifier is an agent based on a naive Bayesian learning algorithm which acquires knowledge through training with examples. We present the findings of experimentation where the BClassifier consistently exhibits success rates over 70%. Two other types of learning methods are compared with the naive Bayesian technique

Keywords

Bayes methods; Internet; classification; information resources; learning by example; software agents; BClassifier; Internet; World Wide Web; bookmark classification; experiment; learning by example; naive Bayesian learning algorithm; personal agent; Acceleration; Bayesian methods; Communication networks; Computer science; IP networks; Learning systems; Microcomputers; Software algorithms; Software systems; Uniform resource locators;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel and Distributed Systems, 2001. ICPADS 2001. Proceedings. Eighth International Conference on

Conference_Location

Kyongju City

ISSN

1521-9097

Print_ISBN

0-7695-1153-8

Type

conf

DOI

10.1109/ICPADS.2001.934888

Filename

934888

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3261338