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dc.contributor.author
Gauch, Susan
dc.contributor.author
Chaffee, Jason
dc.contributor.author
Pretschner, Alexander
dc.date.accessioned
2022-10-14T11:15:25Z
dc.date.available
2017-06-10T02:57:33Z
dc.date.available
2019-11-08T12:40:04Z
dc.date.available
2022-10-14T11:13:07Z
dc.date.available
2022-10-14T11:15:25Z
dc.date.issued
2003-12
dc.identifier.uri
http://hdl.handle.net/20.500.11850/52419
dc.description.abstract
As the number of Internet users and the number of accessible Web pages grows, it is becoming increasingly difficult for users to find documents that are relevant to their particular needs. Users must either browse through a large hierarchy of concepts to find the information for which they are looking or submit a query to a publicly available search engine and wade through hundreds of results, most of them irrelevant. The core of the problem is that whether the user is browsing or searching, whether they are an eighth grade student or a Nobel prize winner, the identical information is selected and it is presented the same way. In this paper, we report on research that adapts information navigation based on a user profile structured as a weighted concept hierarchy. A user may create his or her own concept hierarchy and use them for browsing Web sites. Or, the user profile may be created from a reference ontology by 'watching over the user's shoulder' while they browse. We show that these automatically created profiles reflect the user's interests quite well and they are able to produce moderate improvements when applied to search results.
en_US
dc.language.iso
en
en_US
dc.publisher
IOS Press
en_US
dc.subject
browsing
en_US
dc.subject
ontologies
en_US
dc.subject
conceptual search
en_US
dc.subject
web navigation
en_US
dc.subject
personalization
en_US
dc.title
Ontology-Based Personalized Search and Browsing
en_US
dc.type
Journal Article
dc.date.published
2003-12-01
ethz.journal.title
Web Intelligence and Agent Systems
ethz.journal.volume
1
en_US
ethz.journal.issue
3-4
en_US
ethz.pages.start
219
en_US
ethz.pages.end
234
en_US
ethz.publication.place
Amsterdam
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02660 - Institut für Informationssicherheit / Institute of Information Security::03634 - Basin, David / Basin, David
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02660 - Institut für Informationssicherheit / Institute of Information Security::03634 - Basin, David / Basin, David
ethz.identifier.url
https://dl.acm.org/doi/10.5555/1016416.1016421
ethz.date.deposited
2017-06-10T02:57:47Z
ethz.source
ECIT
ethz.identifier.importid
imp59364f7d6b11b31504
ethz.ecitpid
pub:85124
ethz.eth
no
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-12T20:52:03Z
ethz.rosetta.lastUpdated
2022-03-29T00:14:36Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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