DocumentCode
2421398
Title
Exploiting learning technologies for World Wide Web agents
Author
Edwards, P. ; Green, C.L. ; Lockier, P.C. ; Lukins, T.C.
Author_Institution
Dept. of Comput. Sci., Aberdeen Univ., UK
fYear
1997
fDate
35506
Firstpage
42430
Lastpage
42436
Abstract
The paper illustrates how machine learning techniques can be utilised within intelligent software agents which assist users with the management of Web-based information. The authors discuss a number of recent activities within the Learning Agents & Systems group at Aberdeen, namely: a generic Web browsing assistant; an agent which constructs personalised travel brochures; the application of clustering techniques to Web browser histories; and multi-agent support for adaptive user querying
Keywords
learning systems; Learning Agents & Systems group; Web browser histories; Web-based information management; World Wide Web agents; clustering techniques; generic Web browsing assistant; intelligent software agents; machine learning techniques; multi-agent supported adaptive user querying; personalised travel brochure construction agent;
fLanguage
English
Publisher
iet
Conference_Titel
Intelligent World Wide Web Agents (Digest No.: 1997/118), IEE Colloquium on
Conference_Location
London
Type
conf
DOI
10.1049/ic:19970644
Filename
637457
Link To Document