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Strategies for avoiding preference profiling in agent-based e-commerce environments

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Strategies for avoiding preference profiling in agent-based e-commerce environments

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dc.contributor.author Serrano, Emilio es_ES
dc.contributor.author Such, Jose M. es_ES
dc.contributor.author Botia, Juan A. es_ES
dc.contributor.author García Fornes, Ana María es_ES
dc.date.accessioned 2015-05-19T09:47:29Z
dc.date.available 2015-05-19T09:47:29Z
dc.date.issued 2014-01
dc.identifier.issn 0924-669X
dc.identifier.uri http://hdl.handle.net/10251/50447
dc.description.abstract Agent-based electronic commerce is known to offer many advantages to users. However, very few studies have been devoted to deal with privacy issues in this domain. Privacy is of great concern and preserving users' privacy plays a crucial role to promote their trust in agent-based technologies. In this paper, we focus on preference profiling, which is a well-known threat to users' privacy. Specifically, we review strategies for customers' agents to prevent seller agents from obtaining accurate preference profiles of the former group by using data mining techniques. We experimentally show the efficacy of each of these strategies and discuss their suitability in different situations. Our experimental results show that customers can improve their privacy notably with these strategies. es_ES
dc.description.sponsorship This research work is supported by the Spanish Ministry of Science and Innovation in the scope of the Research Projects TSI-020302-2010-129, TIN2011-28335-C02-02 and through the Fundacion Seneca within the Program 04552/GERM/06. en_EN
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Applied Intelligence es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Privacy es_ES
dc.subject Agent-based e-commerce es_ES
dc.subject Preference profiling es_ES
dc.subject Interaction analysis es_ES
dc.subject Data mining es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Strategies for avoiding preference profiling in agent-based e-commerce environments es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s10489-013-0448-2
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2011-28335-C02-02/ES/FUNDAMENTOS PARA EL DESARROLLO DE SERVICIOS Y APLICACIONES AAL/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/f SéNeCa/Funding Program for Research Groups of Excellence/04552%2FGERM%2F06/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TSI-020302-2010-129/ES/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Serrano, E.; Such, JM.; Botia, JA.; García Fornes, AM. (2014). Strategies for avoiding preference profiling in agent-based e-commerce environments. Applied Intelligence. 40(1):127-142. https://doi.org/10.1007/s10489-013-0448-2 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1007/s10489-013-0448-2 es_ES
dc.description.upvformatpinicio 127 es_ES
dc.description.upvformatpfin 142 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 40 es_ES
dc.description.issue 1 es_ES
dc.relation.senia 245543
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder Fundación Séneca-Agencia de Ciencia y Tecnología de la Región de Murcia es_ES
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