A study of belief revision in the context of adaptive information filtering

Raymond Lau, Arthur H. M. ter Hofstede, Peter D. Bruza

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

10 Citations (Scopus)

Abstract

The rapid growth of the Internet and the World Wide Web (Web) provides access to vast amounts of valuable information. However, the problem of information overload is an obstacle to the practical use of potentially useful information on the Web. Agent based information filtering alleviates the above problem by proactively scanning through the incoming stream of information on behalf of the users. However, users’ information needs will change over time. To make intelligent information filtering effective, the agents must be adaptive. The AGM belief revision framework, a logic based revision paradigm, offers a sound and rigorous method of updating an agent’s beliefs of users’ information needs. This article examines the issues of applying the AGM belief revision framework to adaptive information filtering. © Springer-Verlag Berlin Heidelberg 1999
Original languageEnglish
Title of host publicationInternet Applications
Subtitle of host publication5th International Computer Science Conference, ICSC'99, Hong Kong, China, December 13-15, 1999 Proceedings
EditorsLucas Chi Kwong Hui, Dik-Lun Lee
Place of PublicationBerlin, Heidelberg
PublisherSpringer 
Pages1-11
ISBN (Electronic)978-3-540-46652-9
ISBN (Print)9783540669036
DOIs
Publication statusPublished - 1999
Externally publishedYes
Event5th International Computer Science Conference (ICSC 1999) - Hong Kong, China
Duration: 13 Dec 199915 Dec 1999

Publication series

NameLecture Notes in Computer Science
Volume1749
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Computer Science Conference (ICSC 1999)
PlaceChina
CityHong Kong
Period13/12/9915/12/99

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