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Privacy-preserving recommendations in context-aware mobile environments

Georgiadis, Christos K.; Stiakakis, Emmanouil; Polatidis, Nikolaos; Pimenidis, Elias


Christos K. Georgiadis

Emmanouil Stiakakis

Nikolaos Polatidis


© Emerald Publishing Limited. Purpose - This paper aims to address privacy concerns that arise from the use of mobile recommender systems when processing contextual information relating to the user. Mobile recommender systems aim to solve the information overload problem by recommending products or services to users of Web services on mobile devices, such as smartphones or tablets, at any given point in time and in any possible location. They use recommendation methods, such as collaborative filtering or content-based filtering and use aconsiderable amount of contextual information to provide relevant recommendations. However, because of privacy concerns, users are not willing to provide the required personal information that would allow their views to be recorded and make these systems usable. Design/methodology/approach - This work is focused on user privacy by providing a method for context privacy-preservation and privacy protection at user interface level. Thus, a set of algorithms that are part of the method has been designed with privacy protectionin mind, which isdone byusing realistic dummy parameter creation. Todemonstrate the applicability of the method, arelevant context-aware data set has been used to run performance and usability tests. Findings - The proposed method has been experimentally evaluated using performance and usability evaluation tests and is shown that with a small decrease in terms of performance, user privacy can be protected. Originality/value - This is a novel research paper that proposed a method for protecting the privacy of mobile recommender systems users when context parameters are used.

Journal Article Type Article
Publication Date Jan 1, 2017
Journal Information and Computer Security
Print ISSN 2056-4961
Electronic ISSN 2056-4961
Publisher Emerald
Peer Reviewed Peer Reviewed
Volume 25
Issue 1
Pages 62-79
APA6 Citation Stiakakis, E., Georgiadis, C. K., Polatidis, N., Georgiadis, C., Pimenidis, E., & Stiakakis, E. (2017). Privacy-preserving recommendations in context-aware mobile environments. Information and Computer Security, 25(1), 62-79.
Keywords mobile recommender systems, context-awareness, privacy, dummy-based, user interface
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