Analysis of the impact of a tag recommendation system in a real-world folksonomy
Collaborative tagging systems have emerged as a successful solution for annotating contributed resources to online sharing platforms, facilitating searching, browsing, and organizing their contents. To aid users in the annotation process, several tag recommendation methods have been proposed. It has...
| Autores: | , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2015 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10230/32581 |
| Acceso en línea: | http://hdl.handle.net/10230/32581 http://dx.doi.org/10.1145/2743026 |
| Access Level: | acceso abierto |
| Palabra clave: | Folksonomy Freesound Tag recommendation Tagging systems |
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Analysis of the impact of a tag recommendation system in a real-world folksonomyFont Corbera, FredericSerrà Julià, JoanSerra, XavierFolksonomyFreesoundTag recommendationTagging systemsCollaborative tagging systems have emerged as a successful solution for annotating contributed resources to online sharing platforms, facilitating searching, browsing, and organizing their contents. To aid users in the annotation process, several tag recommendation methods have been proposed. It has been repeatedly hypothesized that these methods should contribute to improving annotation quality and reducing the cost of the annotation process. It has been also hypothesized that these methods should contribute to the consolidation of the vocabulary of collaborative tagging systems. However, to date, no empirical and quantitative result supports these hypotheses. In this work, we deeply analyze the impact of a tag recommendation system in the folksonomy of Freesound, a real-world and large-scale online sound sharing platform. Our results suggest that tag recommendation effectively increases vocabulary sharing among users of the platform. In addition, tag recommendation is shown to contribute to the convergence of the vocabulary as well as to a partial increase in the quality of annotations. However, according to our analysis, the cost of the annotation process does not seem to be effectively reduced. Our work is relevant to increase our understanding about the nature of tag recommendation systems and points to future directions for the further development of those systems and their analysis.This work has been supported by BES-2010-037309 FPI from the Spanish Ministry of Science and Innovation, TIN2009-14247-C02-01 from the Spanish government (F.F.), 2009-SGR-1434 from Generalitat de Catalunya (J.S.), JAEDOC069/2010 from CSIC (J.S.), FSE2007-2013 E. U. Social funds (J.S.), and FP7-2007-2013/ERC grant agreement 267583 (CompMusic; F.F. and X.S.).ACM Association for Computer Machinery201720172015info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/32581http://dx.doi.org/10.1145/2743026reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésACM Trans Intell Syst Technol. 2015 Sept;7(1):6.info:eu-repo/grantAgreement/EC/FP7/267583info:eu-repo/grantAgreement/ES/3PN/TIN2009-14247-C02-01© ACM, 2015. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Analysis of the impact of a tag recommendation system in a real-world folksonomy, {VOL7, ISS1, 2015} http://doi.acm.org/10.1145/10.1145/2743026info:eu-repo/semantics/openAccessoai:recercat.cat:10230/325812026-05-29T05:05:01Z |
| dc.title.none.fl_str_mv |
Analysis of the impact of a tag recommendation system in a real-world folksonomy |
| title |
Analysis of the impact of a tag recommendation system in a real-world folksonomy |
| spellingShingle |
Analysis of the impact of a tag recommendation system in a real-world folksonomy Font Corbera, Frederic Folksonomy Freesound Tag recommendation Tagging systems |
| title_short |
Analysis of the impact of a tag recommendation system in a real-world folksonomy |
| title_full |
Analysis of the impact of a tag recommendation system in a real-world folksonomy |
| title_fullStr |
Analysis of the impact of a tag recommendation system in a real-world folksonomy |
| title_full_unstemmed |
Analysis of the impact of a tag recommendation system in a real-world folksonomy |
| title_sort |
Analysis of the impact of a tag recommendation system in a real-world folksonomy |
| dc.creator.none.fl_str_mv |
Font Corbera, Frederic Serrà Julià, Joan Serra, Xavier |
| author |
Font Corbera, Frederic |
| author_facet |
Font Corbera, Frederic Serrà Julià, Joan Serra, Xavier |
| author_role |
author |
| author2 |
Serrà Julià, Joan Serra, Xavier |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
Folksonomy Freesound Tag recommendation Tagging systems |
| topic |
Folksonomy Freesound Tag recommendation Tagging systems |
| description |
Collaborative tagging systems have emerged as a successful solution for annotating contributed resources to online sharing platforms, facilitating searching, browsing, and organizing their contents. To aid users in the annotation process, several tag recommendation methods have been proposed. It has been repeatedly hypothesized that these methods should contribute to improving annotation quality and reducing the cost of the annotation process. It has been also hypothesized that these methods should contribute to the consolidation of the vocabulary of collaborative tagging systems. However, to date, no empirical and quantitative result supports these hypotheses. In this work, we deeply analyze the impact of a tag recommendation system in the folksonomy of Freesound, a real-world and large-scale online sound sharing platform. Our results suggest that tag recommendation effectively increases vocabulary sharing among users of the platform. In addition, tag recommendation is shown to contribute to the convergence of the vocabulary as well as to a partial increase in the quality of annotations. However, according to our analysis, the cost of the annotation process does not seem to be effectively reduced. Our work is relevant to increase our understanding about the nature of tag recommendation systems and points to future directions for the further development of those systems and their analysis. |
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2015 |
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2015 2017 2017 |
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article |
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http://hdl.handle.net/10230/32581 http://dx.doi.org/10.1145/2743026 |
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http://hdl.handle.net/10230/32581 http://dx.doi.org/10.1145/2743026 |
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Inglés |
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ACM Trans Intell Syst Technol. 2015 Sept;7(1):6. info:eu-repo/grantAgreement/EC/FP7/267583 info:eu-repo/grantAgreement/ES/3PN/TIN2009-14247-C02-01 |
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ACM Association for Computer Machinery |
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ACM Association for Computer Machinery |
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