Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/140950
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dc.creatorFilipe Miguel Alves Pinto dos Reis
dc.date.accessioned2025-11-07T06:08:33Z-
dc.date.available2025-11-07T06:08:33Z-
dc.date.issued2022-03-04
dc.date.submitted2022-05-04
dc.identifier.othersigarra:554502
dc.identifier.urihttps://hdl.handle.net/10216/140950-
dc.descriptionThis project compares the results of performing hierarchical classification over the pages of the Curlie Open Directory using two different types of features as well as fusing them. The first is a social-network-like graph of the pages, where edges represent hyperlinks. The second is an embedding representation of the most relevant text in the page, acquired through a heuristic.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectEngenharia electrotécnica, electrónica e informática
dc.subjectElectrical engineering, Electronic engineering, Information engineering
dc.titleHierarchical Classification of Pages: Combining Semantic and Web Graph Contents
dc.typeDissertação
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.doi10.34626/rb9x-p316
dc.identifier.tid203165616
dc.subject.fosCiências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
dc.subject.fosEngineering and technology::Electrical engineering, Electronic engineering, Information engineering
thesis.degree.disciplineMestrado em Engenharia Informática e Computação
thesis.degree.grantorFaculdade de Engenharia
thesis.degree.grantorUniversidade do Porto
thesis.degree.level1
rcaap.embargofctEvitar que eventual concorrência da empresa (Semasio) tenha acesso ao processo de investigação realizado durante a dissertação para desenvolver uma nova funcionalidade para o produto.
Appears in Collections:FEUP - Dissertação

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