Exploiting Learning Technologies for World Wide Web Agents

Peter Edwards; Claire Louise Green; P C Lockier; T C Lukins

doi:10.1049/ic:19970644

Exploiting Learning Technologies for World Wide Web Agents

Peter Edwards, Claire Louise Green, P C Lockier, T C Lukins

Computing Science

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

3 Citations (Scopus)

39 Downloads (Pure)

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.

Original language	English
Title of host publication	IEE Colloquium on Intelligent World Wide Web Agents (Digest No.: 1997/118)
Publisher	IET
Pages	3/1 - 3/7
DOIs	https://doi.org/10.1049/ic:19970644
Publication status	Published - 1997

Keywords

user agents
machine learning
user-profiling
clustering
world wide web

Access to Document

10.1049/ic:19970644Licence: Unspecified

edwards-iee-97Accepted author manuscript, 434 KBLicence: Unspecified

Cite this

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title = "Exploiting Learning Technologies for World Wide Web Agents",

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 = "user agents, machine learning, user-profiling, clustering, world wide web",

author = "Peter Edwards and Green, {Claire Louise} and Lockier, {P C} and Lukins, {T C}",

year = "1997",

doi = "10.1049/ic:19970644",

language = "English",

pages = "3/1 -- 3/7",

booktitle = "IEE Colloquium on Intelligent World Wide Web Agents (Digest No.: 1997/118)",

publisher = "IET",

}

TY - GEN

T1 - Exploiting Learning Technologies for World Wide Web Agents

AU - Edwards, Peter

AU - Green, Claire Louise

AU - Lockier, P C

AU - Lukins, T C

PY - 1997

Y1 - 1997

N2 - 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.

AB - 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.

KW - user agents

KW - machine learning

KW - user-profiling

KW - clustering

KW - world wide web

U2 - 10.1049/ic:19970644

DO - 10.1049/ic:19970644

M3 - Published conference contribution

SP - 3/1 - 3/7

BT - IEE Colloquium on Intelligent World Wide Web Agents (Digest No.: 1997/118)

PB - IET

ER -

Exploiting Learning Technologies for World Wide Web Agents

Abstract

Keywords

Access to Document

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Cite this