File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Applying Web analysis in Web page filtering

TitleApplying Web analysis in Web page filtering
Authors
Chau, M
KeywordsInformation retrieval
Machine learning
Neural networks
Support vector machines
Vertical search engines
Web analysis
Web page classification
Web page filtering
Issue Date2004
PublisherIEEE.
Citation
ACM / IEEE Joint Conference on Digital Libraries Proceedings, Tuscon, Arizona, USA, 7-11 June 2004, p. 376 How to Cite?
DOI: http://dx.doi.org/10.1109/JCDL.2004.240060
AbstractA machine-based learning approach that combines web content analysis and web structure analysis was proposed. The approach addressed the issue of filtering out irrelevant documents from a set of relevant documents collected from the web. It was found that the proposed approach is useful for vertical search engine development and other web applications. The results show that the approach can be used for web page filtering by effectively applying web content and link analysis.
Persistent Identifierhttp://hdl.handle.net/10722/47074
ISSN
1552-5996
2020 SCImago Journal Rankings: 0.264
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorChau, Men_HK
dc.date.accessioned2007-10-30T07:06:24Z-
dc.date.available2007-10-30T07:06:24Z-
dc.date.issued2004en_HK
dc.identifier.citationACM / IEEE Joint Conference on Digital Libraries Proceedings, Tuscon, Arizona, USA, 7-11 June 2004, p. 376en_HK
dc.identifier.issn1552-5996en_HK
dc.identifier.urihttp://hdl.handle.net/10722/47074-
dc.description.abstractA machine-based learning approach that combines web content analysis and web structure analysis was proposed. The approach addressed the issue of filtering out irrelevant documents from a set of relevant documents collected from the web. It was found that the proposed approach is useful for vertical search engine development and other web applications. The results show that the approach can be used for web page filtering by effectively applying web content and link analysis.en_HK
dc.format.extent217912 bytes-
dc.format.extent2605 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofProceedings of the ACM IEEE International Conference on Digital Libraries, JCDL 2004en_HK
dc.rights©2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.subjectInformation retrievalen_HK
dc.subjectMachine learningen_HK
dc.subjectNeural networksen_HK
dc.subjectSupport vector machinesen_HK
dc.subjectVertical search enginesen_HK
dc.subjectWeb analysisen_HK
dc.subjectWeb page classificationen_HK
dc.subjectWeb page filteringen_HK
dc.titleApplying Web analysis in Web page filteringen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1552-5996&volume=&spage=376&epage=&date=2004&atitle=Applying+Web+Analysis+in+Web+Page+Filteringen_HK
dc.identifier.emailChau, M: mchau@hkucc.hku.hken_HK
dc.identifier.authorityChau, M=rp01051en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/JCDL.2004.240060en_HK
dc.identifier.scopuseid_2-s2.0-4944230973en_HK
dc.identifier.hkuros91964-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-4944230973&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage376en_HK
dc.identifier.epage376en_HK
dc.identifier.scopusauthoridChau, M=7006073763en_HK
dc.identifier.issnl1552-5996-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats