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dc.contributor.authorPuglisi, Silvia
dc.contributor.authorRebollo Monedero, David
dc.contributor.authorForné Muñoz, Jorge
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica
dc.date.accessioned2017-05-04T15:08:55Z
dc.date.available2018-02-20T01:30:19Z
dc.date.issued2017-02-19
dc.identifier.citationPuglisi, S., Rebollo-Monedero, D., Forne, J. On web user tracking of browsing patterns for personalised advertising. "International Journal of Parallel, Emergent and Distributed Systems", 19 Febrer 2017, p. 1-20.
dc.identifier.issn1744-5760
dc.identifier.urihttp://hdl.handle.net/2117/104076
dc.descriptionThis is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Parallel, Emergent and Distributed Systems on 19/02/2017, available online: http://www.tandfonline.com/doi/abs/10.1080/17445760.2017.1282480
dc.description.abstractOn today’s Web, users trade access to their private data for content and services. App and service providers want to know everything they can about their users, in order to improve their product experience. Also, advertising sustains the business model of many websites and applications. Efficient and successful advertising relies on predicting users’ actions and tastes to suggest a range of products to buy. Both service providers and advertisers try to track users’ behaviour across their product network. For application providers this means tracking users’ actions within their platform. For third-party services following users, means being able to track them across different websites and applications. It is well known how, while surfing the Web, users leave traces regarding their identity in the form of activity patterns and unstructured data. These data constitute what is called the user’s online footprint. We analyse how advertising networks build and collect users footprints and how the suggested advertising reacts to changes in the user behaviour.
dc.format.extent20 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshElectronic data processing
dc.subject.lcshAdvertising
dc.subject.otherPrivacy
dc.subject.otherubiquitous-tracking
dc.subject.otherprivacy metrics
dc.subject.otheradvertising
dc.titleOn web user tracking of browsing patterns for personalised advertising
dc.typeArticle
dc.subject.lemacProcessament òptic de dades
dc.subject.lemacPublicitat
dc.contributor.groupUniversitat Politècnica de Catalunya. ISG - Grup de Seguretat de la Informació
dc.identifier.doi10.1080/17445760.2017.1282480
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.tandfonline.com/doi/full/10.1080/17445760.2017.1282480
dc.rights.accessOpen Access
drac.iddocument19727562
dc.description.versionPostprint (author's final draft)
upcommons.citation.authorPuglisi, S., Rebollo-Monedero, D., Forne, J.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameInternational Journal of Parallel, Emergent and Distributed Systems
upcommons.citation.startingPage1
upcommons.citation.endingPage20


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