Using neighborhood information for automated categorization of web pages

dc.contributor.author	Panteleeva, Nadejda
dc.contributor.editor	Godlevsky, Mikhail
dc.contributor.editor	Liddle, Stephen W.
dc.contributor.editor	Mayr, Heinrich C.
dc.date.accessioned	2019-11-14T11:18:12Z
dc.date.available	2019-11-14T11:18:12Z
dc.date.issued	2003
dc.description.abstract	In this paper we discuss several issues related to the influence of expansion of a Web document representation on quality of topical categorization of Web pages. We consider a Web page expansion by using text content of it's linking pages. We show that naive expansion can grab too much noise and essentially harm categorization results. We present the approach to automated pruning of linking Web pages. We report that using our approach in forming a Web page representation always leads to better results than traditional single Web page categorization.	en
dc.identifier.isbn	3-88579-359-8
dc.identifier.pissn	1617-5468
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/29872
dc.language.iso	en
dc.publisher	Gesellschaft für Informatik e.V.
dc.relation.ispartofseries	Lecture Notes in Informatics (LNI) - Proceedings, Volume P-30
dc.title	Using neighborhood information for automated categorization of web pages	en
dc.type	Text/Conference Paper
gi.citation.endPage	58
gi.citation.publisherPlace	Bonn
gi.citation.startPage	47
gi.conference.date	June 19-21, 2003
gi.conference.location	Kharkiv, Ukraine
gi.conference.sessiontitle	Regular Research Papers

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