File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Discovering user access patterns on the World Wide Web

TitleDiscovering user access patterns on the World Wide Web
Authors
KeywordsClustering Algorithm
User Profile
Web Tool
Issue Date1998
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/knosys
Citation
Knowledge-Based Systems, 1998, v. 10 n. 7, p. 463-470 How to Cite?
AbstractThe World Wide Web provides its users with almost unlimited access to documents on the Internet. The use of intelligent agents is suggested to assist users to locate documents related to their interests instead of browsing the Web via primitive search engines. A number of key components in such intelligent systems are identified and a system architecture is proposed. In particular, a learning agent is designed along with the underlying algorithms for the discovery of areas of interest from user access logs. The discovered topics can be used to improve the efficiency of information retrieval by prefetching documents for the users and storing then in a document database in the system A prototype system has also been implemented to illustrate the various concepts. Experiments are performed which show that the area of interest discovered can in fact be used to improve the efficiency of information retrieval on a distributed information system such as the Internet. © 1998 Published by Elsevier Science B.V. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/152269
ISSN
2015 Impact Factor: 3.325
2015 SCImago Journal Rankings: 2.140
References

 

DC FieldValueLanguage
dc.contributor.authorCheung, DWen_US
dc.contributor.authorKao, Ben_US
dc.contributor.authorLee, Jen_US
dc.date.accessioned2012-06-26T06:36:51Z-
dc.date.available2012-06-26T06:36:51Z-
dc.date.issued1998en_US
dc.identifier.citationKnowledge-Based Systems, 1998, v. 10 n. 7, p. 463-470en_US
dc.identifier.issn0950-7051en_US
dc.identifier.urihttp://hdl.handle.net/10722/152269-
dc.description.abstractThe World Wide Web provides its users with almost unlimited access to documents on the Internet. The use of intelligent agents is suggested to assist users to locate documents related to their interests instead of browsing the Web via primitive search engines. A number of key components in such intelligent systems are identified and a system architecture is proposed. In particular, a learning agent is designed along with the underlying algorithms for the discovery of areas of interest from user access logs. The discovered topics can be used to improve the efficiency of information retrieval by prefetching documents for the users and storing then in a document database in the system A prototype system has also been implemented to illustrate the various concepts. Experiments are performed which show that the area of interest discovered can in fact be used to improve the efficiency of information retrieval on a distributed information system such as the Internet. © 1998 Published by Elsevier Science B.V. All rights reserved.en_US
dc.languageengen_US
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/knosysen_US
dc.relation.ispartofKnowledge-Based Systemsen_US
dc.subjectClustering Algorithmen_US
dc.subjectUser Profileen_US
dc.subjectWeb Toolen_US
dc.titleDiscovering user access patterns on the World Wide Weben_US
dc.typeArticleen_US
dc.identifier.emailCheung, DW:dcheung@cs.hku.hken_US
dc.identifier.emailKao, B:kao@cs.hku.hken_US
dc.identifier.authorityCheung, DW=rp00101en_US
dc.identifier.authorityKao, B=rp00123en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0032072005en_US
dc.identifier.hkuros38216-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0032072005&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume10en_US
dc.identifier.issue7en_US
dc.identifier.spage463en_US
dc.identifier.epage470en_US
dc.publisher.placeNetherlandsen_US
dc.identifier.scopusauthoridCheung, DW=34567902600en_US
dc.identifier.scopusauthoridKao, B=35221592600en_US
dc.identifier.scopusauthoridLee, J=7601456046en_US

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats