Leveraging semantic similarity for folksonomy-based recommendation
- Autores
- Godoy, Daniela Lis; Rodriguez, Gustavo; Scavuzzo, Franco
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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.
Fil: Godoy, Daniela Lis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina
Fil: Rodriguez, Gustavo. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina
Fil: Scavuzzo, Franco. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina - Materia
-
Social Tagging Systems
Folksonomies
Similarity Measures
Recommender Systems - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/6786
Ver los metadatos del registro completo
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Leveraging semantic similarity for folksonomy-based recommendationGodoy, Daniela LisRodriguez, GustavoScavuzzo, FrancoSocial Tagging SystemsFolksonomiesSimilarity MeasuresRecommender Systemshttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1For 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.Fil: Godoy, Daniela Lis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; ArgentinaFil: Rodriguez, Gustavo. Universidad Nacional del Centro de la Provincia de Buenos Aires; ArgentinaFil: Scavuzzo, Franco. Universidad Nacional del Centro de la Provincia de Buenos Aires; ArgentinaInstitute of Electrical and Electronics Engineers2014-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/6786Godoy, 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; 48-551089-7801enginfo:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6449234&tag=1info:eu-repo/semantics/altIdentifier/url/https://www.computer.org/csdl/mags/ic/2014/01/mic2014010048.pdfinfo:eu-repo/semantics/altIdentifier/doi/10.1109/MIC.2013.26info:eu-repo/semantics/altIdentifier/doi/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:34:07Zoai:ri.conicet.gov.ar:11336/6786instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:34:07.949CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Leveraging semantic similarity for folksonomy-based recommendation |
title |
Leveraging semantic similarity for folksonomy-based recommendation |
spellingShingle |
Leveraging semantic similarity for folksonomy-based recommendation Godoy, Daniela Lis Social Tagging Systems Folksonomies Similarity Measures Recommender Systems |
title_short |
Leveraging semantic similarity for folksonomy-based recommendation |
title_full |
Leveraging semantic similarity for folksonomy-based recommendation |
title_fullStr |
Leveraging semantic similarity for folksonomy-based recommendation |
title_full_unstemmed |
Leveraging semantic similarity for folksonomy-based recommendation |
title_sort |
Leveraging semantic similarity for folksonomy-based recommendation |
dc.creator.none.fl_str_mv |
Godoy, Daniela Lis Rodriguez, Gustavo Scavuzzo, Franco |
author |
Godoy, Daniela Lis |
author_facet |
Godoy, Daniela Lis Rodriguez, Gustavo Scavuzzo, Franco |
author_role |
author |
author2 |
Rodriguez, Gustavo Scavuzzo, Franco |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Social Tagging Systems Folksonomies Similarity Measures Recommender Systems |
topic |
Social Tagging Systems Folksonomies Similarity Measures Recommender Systems |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.2 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
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. Fil: Godoy, Daniela Lis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina Fil: Rodriguez, Gustavo. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina Fil: Scavuzzo, Franco. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina |
description |
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. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-01 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/6786 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 1089-7801 |
url |
http://hdl.handle.net/11336/6786 |
identifier_str_mv |
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 1089-7801 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6449234&tag=1 info:eu-repo/semantics/altIdentifier/url/https://www.computer.org/csdl/mags/ic/2014/01/mic2014010048.pdf info:eu-repo/semantics/altIdentifier/doi/10.1109/MIC.2013.26 info:eu-repo/semantics/altIdentifier/doi/ |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers |
publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844613054921179136 |
score |
13.070432 |