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C-Rank: A contribution-based web page ranking approach

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dc.contributor.authorKim, Dong-Jin-
dc.contributor.authorLee,Sang-Chul-
dc.contributor.authorSon, Ho-Yong-
dc.contributor.authorKim, Sang-Wook-
dc.contributor.authorLee, Jae Bum-
dc.date.accessioned2022-07-16T05:57:00Z-
dc.date.available2022-07-16T05:57:00Z-
dc.date.created2021-05-11-
dc.date.issued2014-03-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/160565-
dc.description.abstractThis paper proposes an approach to web page ranking that effectively combines link and content information with efficiency high enough to be applicable to real-world search engines. Experimental results show that the proposed approach gives better precision than existing models. Most importantly, it is fairly efficient enough to be applicable to real-world search engines.-
dc.language영어-
dc.language.isoen-
dc.publisherAssociation for Computing Machinery-
dc.titleC-Rank: A contribution-based web page ranking approach-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Sang-Wook-
dc.identifier.doi10.1145/2554850.2554910-
dc.identifier.scopusid2-s2.0-84905666055-
dc.identifier.bibliographicCitationProceedings of the ACM Symposium on Applied Computing, pp.908 - 912-
dc.relation.isPartOfProceedings of the ACM Symposium on Applied Computing-
dc.citation.titleProceedings of the ACM Symposium on Applied Computing-
dc.citation.startPage908-
dc.citation.endPage912-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusSearch engines-
dc.subject.keywordPlusC-Rank-
dc.subject.keywordPlusContent and link ranking-
dc.subject.keywordPlusContribution based ranking-
dc.subject.keywordPlusContribution constraints-
dc.subject.keywordPlusWeb information retrieval-
dc.subject.keywordPlusContent based retrieval-
dc.subject.keywordAuthorC-Rank-
dc.subject.keywordAuthorContent and link ranking-
dc.subject.keywordAuthorContribution based ranking-
dc.subject.keywordAuthorContribution constraints-
dc.subject.keywordAuthorWeb information retrieval-
dc.identifier.urlhttps://dl.acm.org/doi/10.1145/2554850.2554910-
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