{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T00:09:25Z","timestamp":1772237365549,"version":"3.50.1"},"reference-count":38,"publisher":"Emerald","issue":"1","license":[{"start":{"date-parts":[[2017,3,13]],"date-time":"2017-03-13T00:00:00Z","timestamp":1489363200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ICS"],"published-print":{"date-parts":[[2017,3,13]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>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 a considerable 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.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>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 protection in mind, which is done by using realistic dummy parameter creation. To demonstrate the applicability of the method, a relevant context-aware data set has been used to run performance and usability tests.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>This is a novel research paper that proposed a method for protecting the privacy of mobile recommender systems users when context parameters are used.<\/jats:p><\/jats:sec>","DOI":"10.1108\/ics-04-2016-0028","type":"journal-article","created":{"date-parts":[[2017,3,1]],"date-time":"2017-03-01T08:28:36Z","timestamp":1488356916000},"page":"62-79","source":"Crossref","is-referenced-by-count":13,"title":["Privacy-preserving recommendations in context-aware mobile environments"],"prefix":"10.1108","volume":"25","author":[{"given":"Nikolaos","family":"Polatidis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christos K.","family":"Georgiadis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elias","family":"Pimenidis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emmanouil","family":"Stiakakis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"issue":"5","key":"key2020120812075833000_ref001","first-page":"19","article-title":"Privacy issues and human-computer interaction","volume":"27","year":"2005","journal-title":"Computer"},{"key":"key2020120812075833000_ref002","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1007\/978-0-387-85820-3_7","article-title":"Context-aware recommender systems","volume-title":"Recommender Systems Handbook","year":"2011"},{"issue":"2","key":"key2020120812075833000_ref003","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1504\/IJMC.2014.059738","article-title":"Ubiquitous, mobile, pervasive and wireless information systems: current research and future directions","volume":"12","year":"2014","journal-title":"International Journal of Mobile Communications"},{"issue":"5","key":"key2020120812075833000_ref004","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1007\/s10207-007-0049-3","article-title":"Alambic: a privacy-preserving recommender system for electronic commerce","volume":"7","year":"2008","journal-title":"International Journal of Information Security"},{"issue":"1","key":"key2020120812075833000_ref005","first-page":"56","article-title":"Mobile application to provide personalized sightseeing tours","volume":"41","year":"2014","journal-title":"Journal of Network and Computer Applications"},{"key":"key2020120812075833000_ref006","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.knosys.2013.03.012","article-title":"Recommender systems survey","volume":"46","year":"2013","journal-title":"Knowledge-Based Systems"},{"issue":"8","key":"key2020120812075833000_ref007","doi-asserted-by":"publisher","first-page":"827","DOI":"10.1007\/s00607-015-0451-z","article-title":"Privacy-preserving distributed collaborative filtering","volume":"98","year":"2015","journal-title":"Computing"},{"key":"key2020120812075833000_ref008","first-page":"77","article-title":"Usability assessment of a context-aware and personality-based mobile recommender system","volume-title":"E-Commerce and Web Technologies","year":"2014"},{"issue":"194","key":"key2020120812075833000_ref009","first-page":"4","article-title":"SUS-a quick and dirty usability scale","volume":"189","year":"1996","journal-title":"Usability Evaluation in Industry"},{"issue":"7","key":"key2020120812075833000_ref010","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1145\/2770892","article-title":"Respecting people and respecting privacy","volume":"58","year":"2015","journal-title":"Communications of the ACM"},{"issue":"1","key":"key2020120812075833000_ref011","first-page":"51","article-title":"The effects of differences between e-commerce and m-commerce on the consumers\u2019 usage transfer from online to mobile channel","volume":"13","year":"2014","journal-title":"International Journal of Mobile Communications"},{"issue":"4","key":"key2020120812075833000_ref012","first-page":"526","article-title":"RITA: a useR Interface evaluaTion framework","volume":"21","year":"2015","journal-title":"Journal of Universal Computer Science"},{"issue":"3","key":"key2020120812075833000_ref013","doi-asserted-by":"crossref","first-page":"1202","DOI":"10.1016\/j.eswa.2014.09.016","article-title":"RecomMetz: a context-aware knowledge-based mobile recommender system for movie showtimes","volume":"42","year":"2015","journal-title":"Expert Systems with Applications"},{"key":"key2020120812075833000_ref014","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/j.csi.2015.08.002","article-title":"Pull-based recommendations in mobile environments","volume":"44","year":"2016","journal-title":"Computer Standards & Interfaces"},{"issue":"2","key":"key2020120812075833000_ref015","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1504\/IJEG.2013.058361","article-title":"Employing privacy policies and preferences in modern e-government environments","volume":"6","year":"2013","journal-title":"International Journal of Electronic Governance"},{"issue":"5","key":"key2020120812075833000_ref016","doi-asserted-by":"publisher","first-page":"612","DOI":"10.1109\/THMS.2014.2384452","article-title":"Automatic generation of tailored accessible user interfaces for ubiquitous services","volume":"45","year":"2015","journal-title":"IEEE Transactions on Human-Machine Systems"},{"issue":"1","key":"key2020120812075833000_ref017","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1561\/1100000004","article-title":"End-user privacy in human-computer interaction","volume":"1","year":"2007","journal-title":"Foundations and Trends in Human-Computer Interaction"},{"key":"key2020120812075833000_ref018","volume-title":"Recommender Systems: An Introduction","year":"2010"},{"key":"key2020120812075833000_ref019","first-page":"31","article-title":"Location privacy techniques in client-server architectures","volume-title":"Privacy in Location-based Applications","year":"2009"},{"key":"key2020120812075833000_ref020","first-page":"249","article-title":"A dummy-based anonymization method based on user trajectory with pauses","year":"2012"},{"key":"key2020120812075833000_ref021","first-page":"88","article-title":"An anonymous communication technique using dummies for location-based services","year":"2005"},{"issue":"1\/2","key":"key2020120812075833000_ref022","first-page":"101","article-title":"Recommender systems: from algorithms to user experience","volume":"22","year":"2012","journal-title":"User Modeling and User-Adapted Interaction"},{"issue":"5","key":"key2020120812075833000_ref023","first-page":"270","article-title":"Database for contextual personalization","volume":"78","year":"2011","journal-title":"Elektrotehni\u0161ki vestnik"},{"issue":"6","key":"key2020120812075833000_ref024","first-page":"716","article-title":"Covert attentional shoulder surfing: human adversaries are more powerful than expected","volume":"44","year":"2014","journal-title":"Systems, Man, and Cybernetics: Systems, IEEE Transactions"},{"issue":"1","key":"key2020120812075833000_ref025","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1142\/S0219622013500077","article-title":"A survey of context-aware mobile recommendations","volume":"12","year":"2013","journal-title":"International Journal of Information Technology & Decision Making"},{"key":"key2020120812075833000_ref026","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1145\/1626536.1626540","article-title":"Pad: privacy-area aware, dummy-based location privacy in mobile services","volume-title":"Proceedings of the Seventh ACM International Workshop on Data Engineering for Wireless and Mobile Access","year":"2008"},{"key":"key2020120812075833000_ref027","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.dss.2015.03.008","article-title":"Recommender system application developments: a survey","volume":"74","year":"2015","journal-title":"Decision Support Systems"},{"issue":"3","key":"key2020120812075833000_ref028","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1007\/s00607-013-0351-z","article-title":"Ubiquitous recommender systems","volume":"96","year":"2014","journal-title":"Computing"},{"key":"key2020120812075833000_ref029","first-page":"957","article-title":"Privacy-area aware dummy generation algorithms for location-based services","year":"2014"},{"key":"key2020120812075833000_ref030","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/j.ins.2012.05.010","article-title":"A mobile 3D-GIS hybrid recommender system for tourism","volume":"215","year":"2012","journal-title":"Information Sciences"},{"key":"key2020120812075833000_ref031","first-page":"1","article-title":"Adaptive and context-aware privacy preservation schemes exploiting user interactions in pervasive environments","volume-title":"2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","year":"2012"},{"issue":"4","key":"key2020120812075833000_ref032","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1080\/10864415.2003.11044341","article-title":"Privacy-preserving collaborative filtering","volume":"9","year":"2005","journal-title":"International Journal of Electronic Commerce"},{"issue":"2\/3","key":"key2020120812075833000_ref033","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1504\/IJIEI.2015.069895","article-title":"A ubiquitous recommender system based on collaborative filtering and social networking data","volume":"3","year":"2015","journal-title":"International Journal of Intelligent Engineering Informatics"},{"key":"key2020120812075833000_ref034","first-page":"62","article-title":"A method for privacy-preserving context-aware mobile recommendations","volume-title":"E-Democracy\u2013Citizen Rights in the World of the New Computing Paradigms","year":"2015"},{"issue":"3","key":"key2020120812075833000_ref035","doi-asserted-by":"crossref","first-page":"205","DOI":"10.3727\/109830511X12978702284390","article-title":"Mobile recommender systems","volume":"12","year":"2010","journal-title":"Information Technology & Tourism"},{"key":"key2020120812075833000_ref036","volume-title":"Towards Privacy-Aware Location-based Recommender Systems","year":"2011"},{"issue":"1","key":"key2020120812075833000_ref037","first-page":"3","article-title":"Collaborative filtering beyond the user-item matrix: a survey of the state of the art and future challenges","volume":"47","year":"2014","journal-title":"ACM Computing Surveys (CSUR)"},{"key":"key2020120812075833000_ref038","first-page":"580","article-title":"Binomial-mix-based location anonymizer system with global dummy generation to preserve user location privacy in location-based services","year":"2010"}],"container-title":["Information &amp; Computer Security"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/ICS-04-2016-0028\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/ICS-04-2016-0028\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,25]],"date-time":"2025-07-25T01:22:49Z","timestamp":1753406569000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/ics\/article\/25\/1\/62-79\/109745"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,3,13]]},"references-count":38,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2017,3,13]]}},"alternative-id":["10.1108\/ICS-04-2016-0028"],"URL":"https:\/\/doi.org\/10.1108\/ics-04-2016-0028","relation":{},"ISSN":["2056-4961"],"issn-type":[{"value":"2056-4961","type":"print"}],"subject":[],"published":{"date-parts":[[2017,3,13]]}}}