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dc.provenanceCONICET-
dc.creatorGodoy, Daniela Lis-
dc.creatorRodriguez, Gustavo-
dc.creatorScavuzzo, Franco-
dc.date2016-07-28T20:33:08Z-
dc.date2016-07-28T20:33:08Z-
dc.date2014-01-
dc.date2016-07-28T18:31:59Z-
dc.date.accessioned2019-04-29T15:34:06Z-
dc.date.available2019-04-29T15:34:06Z-
dc.date.issued2014-01-
dc.identifierGodoy, Daniela Lis; Rodriguez, Gustavo; Scavuzzo, Franco; Leveraging semantic similarity for folksonomy-based recommendation; Institute of Electrical and Electronics Engineers; IEEE Internet Computing; 18; 1; 1-2014; 48-55-
dc.identifier1089-7801-
dc.identifierhttp://hdl.handle.net/11336/6786-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/296741-
dc.descriptionFor recommending interesting resources, such as Web pages or pictures available in social tagging systems, assessing their similarity with user profiles is crucial. Here, we analyze the role of semantic similarity to calculate the resemblance between user profiles and published resources in folksonomies. Experiments carried out with data from two social sites showed that associating semantics to tags results in more accurate similarities among elements in tagging systems and, consequently, enhances recommendations.-
dc.descriptionFil: Godoy, Daniela Lis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina-
dc.descriptionFil: Rodriguez, Gustavo. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina-
dc.descriptionFil: Scavuzzo, Franco. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6449234&tag=1-
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://www.computer.org/csdl/mags/ic/2014/01/mic2014010048.pdf-
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/MIC.2013.26-
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/10.1109/MIC.2013.26-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/-
dc.sourcereponame:CONICET Digital (CONICET)-
dc.sourceinstname:Consejo Nacional de Investigaciones Científicas y Técnicas-
dc.sourceinstacron:CONICET-
dc.source.urihttp://hdl.handle.net/11336/6786-
dc.subjectSOCIAL TAGGING SYSTEMS-
dc.subjectFOLKSONOMIES-
dc.subjectSIMILARITY MEASURES-
dc.subjectRECOMMENDER SYSTEMS-
dc.subjectCiencias de la Computación-
dc.subjectCiencias de la Computación e Información-
dc.subjectCIENCIAS NATURALES Y EXACTAS-
dc.titleLeveraging semantic similarity for folksonomy-based recommendation-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
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