A recommendation approach for user privacy preferences in the fitness domain
A recommendation approach for user privacy preferences in the fitness domain
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Publisher
Dordrecht: Springer Netherlands
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Language
English
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Publisher
Dordrecht: Springer Netherlands
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Scope and Contents
Contents
Fitness trackers are undoubtedly gaining in popularity. As fitness-related data are persistently captured, stored, and processed by these devices, the need to ensure users’ privacy is becoming increasingly urgent. In this paper, we apply a data-driven approach to the development of privacy-setting recommendations for fitness devices. We first prese...
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Full title
A recommendation approach for user privacy preferences in the fitness domain
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TN_cdi_proquest_journals_2424344143
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2424344143
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ISSN
0924-1868
E-ISSN
1573-1391
DOI
10.1007/s11257-019-09246-3