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Folksonomy-based tag recommendation for collaborative tagging systems

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dc.contributor.author Font Corbera, Frederic
dc.contributor.author Serrà Julià, Joan
dc.contributor.author Serra, Xavier
dc.date.accessioned 2018-07-16T08:43:54Z
dc.date.available 2018-07-16T08:43:54Z
dc.date.issued 2013
dc.identifier.citation Font F, Serrà J, Serra X. Folksonomy-based tag recommendation for collaborative tagging systems. Int J Semant Web Inf Syst. 2013;9(2):1-30. DOI: 10.4018/jswis.2013040101
dc.identifier.issn 1552-6283
dc.identifier.uri http://hdl.handle.net/10230/35166
dc.description.abstract Collaborative tagging has emerged as a common solution for labelling and organising online digital content. However, collaborative tagging systems typically suffer from a number of issues such as tag scarcity or ambiguous labelling. As a result, the organisation and browsing of tagged content is far from being optimal. In this work the authors present a general scheme for building a folksonomy-based tag recommendation system to help users tagging online content resources. Based on this general scheme, the authorse describe eight tag recommendation methods and extensively evaluate them with data coming from two real-world large-scale datasets of tagged images and sound clips. Their results show that the proposed methods can effectively recommend relevant tags, given a set of input tags and tag co-occurrence information. Moreover, the authors show how novel strategies for selecting the appropriate number of tags to be recommended can significantly improve methods performances. Approaches such as the one presented here can be useful to obtain more comprehensive and coherent descriptions of tagged resources, thus allowing a better organisation, browsing and reuse of online content. Moreover, they can increase the value of folksonomies as reliable sources for knowledge-mining.
dc.description.sponsorship This work is partially supported under BES2010-037309 FPI grant from the Spanish Ministry of Science and Innovation for the TIN2009-14247-C02-01 DRIMS project. JS acknowledges 2009-SGR-1434 from Generalitat de Catalunya, JAEDOC069/2010 from Consejo Superior de Investigaciones Cientificas, and FP7-ICT-2011-8-318770 from the European Commission.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher IGI Global
dc.relation.ispartof International Journal on Semantic Web and Information Systems. 2013;9(2):1-30.
dc.rights © IGI Global https://www.igi-global.com/gateway/article/94597
dc.title Folksonomy-based tag recommendation for collaborative tagging systems
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.4018/jswis.2013040101
dc.subject.keyword Collaborative tagging
dc.subject.keyword Folksonomies
dc.subject.keyword Intelligent system
dc.subject.keyword Online digital content
dc.subject.keyword Recommendation system
dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/TIN2009-14247-C02-01
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/318770
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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