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dc.contributor.author
Godoy, Daniela Lis  
dc.contributor.author
Rodriguez, Gustavo  
dc.contributor.author
Scavuzzo, Franco  
dc.date.available
2016-07-28T20:33:08Z  
dc.date.issued
2014-01  
dc.identifier.citation
Godoy, 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.identifier.issn
1089-7801  
dc.identifier.uri
http://hdl.handle.net/11336/6786  
dc.description.abstract
For 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.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Institute of Electrical and Electronics Engineers  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Social Tagging Systems  
dc.subject
Folksonomies  
dc.subject
Similarity Measures  
dc.subject
Recommender Systems  
dc.subject.classification
Ciencias de la Computación  
dc.subject.classification
Ciencias de la Computación e Información  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Leveraging semantic similarity for folksonomy-based recommendation  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2016-07-28T18:31:59Z  
dc.journal.volume
18  
dc.journal.number
1  
dc.journal.pagination
48-55  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Los Alamitos  
dc.description.fil
Fil: Godoy, Daniela Lis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina  
dc.description.fil
Fil: Rodriguez, Gustavo. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina  
dc.description.fil
Fil: Scavuzzo, Franco. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina  
dc.journal.title
IEEE Internet Computing  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6449234&tag=1  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.computer.org/csdl/mags/ic/2014/01/mic2014010048.pdf  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/MIC.2013.26  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/10.1109/MIC.2013.26  

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