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Privacy concerns arising from internet service personalization filters

Datos Bibliográficos

ID19354058
AutoresAnsgar Koene (0000-0002-7608-623X, University of Nottingham, United Kingdom, Nottingham, UK), Elvira Pérez-Vallejos (0000-0002-0258-9440, University of Nottingham), Elvira Pérez (University of Nottingham, United Kingdom, Nottingham, UK), Christopher Carter (0000-0002-6817-7780, University of Nottingham), Christopher J Carter (0000-0002-6413-5284, University of Nottingham, United Kingdom, Nottingham, UK), Ramona Statache (University of Nottingham, United Kingdom, Nottingham, UK), Svenja Adolph (0000-0002-9466-2771, University of Nottingham), Svenja Adolphs (University of Nottingham, United Kingdom, Nottingham, UK), Corey O’malley (0000-0002-5004-4568, University of Nottingham), Claire O'Malley (University of Nottingham, United Kingdom, Nottingham, UK), Tom Rodden (University of Nottingham, United Kingdom, Nottingham, UK), Derek McAuley (0000-0001-9159-9933, University of Nottingham, United Kingdom, Nottingham, UK)
IdiomaEN
Referencias citadas13

Personal service customization, or personalization, is one of the core tools that are being used by on-line providers of information services such as search engines, social media, news sites and product recommender systems to optimize the individual user experience in hopes of attracting and keeping users. In this paper we will examine the user profile models that are used to achieve this information personalization. From a citizen centric perspective, our concerns focus on the degree of privacy intrusion that is implicitly required to determine the parameter settings of the information filter profile and the ethical implications of the personal behavior predicting properties of the user model itself

Business · Computer security · Filter (signal processing) · Focus (optics) · Information privacy · Internet privacy · Personalization · Personally identifiable information · Perspective (graphical) · Product (mathematics) · Recommender system · Service (business) · Service provider · The Internet · World Wide Web · Caching and Content Delivery · Computer Science · Privacy, Security, and Data Protection · Recommender Systems and Techniques

  • Desperately seeking the consumer

    Open Access•Theo Rohle•First Monday•2007

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Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae