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Books > Computing & IT > Computer communications & networking > Network security
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Citizen Privacy Framework - Case of a Fuzzy-based Recommender System for Political Participation (Hardcover, 1st ed. 2022)
Loot Price: R2,637
Discovery Miles 26 370
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Citizen Privacy Framework - Case of a Fuzzy-based Recommender System for Political Participation (Hardcover, 1st ed. 2022)
Series: Fuzzy Management Methods
Expected to ship within 18 - 22 working days
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This book presents the concept of a fuzzy-based recommender system
for user account privacy settings that can be used for citizen
participation on online political platforms. The elaborated
components are exemplarily based on the needs of a political
platform implemented during the presidential election in Ecuador.
The book readdresses the issue of privacy paradox demonstrating
that, indeed, users' actual decisions of being private in most
cases diverge with their initial privacy intentions. The two
concepts presented in the book - the citizen privacy profile
framework and the prototype fuzzy-based privacy settings
recommender system - can be adapted by different organizations such
as government institutions, NGOs, or private online service
providers to meet their specific needs. The book will be of
interest to researchers and practitioners in the areas of usage
modeling, privacy, system design, and for service providers in
eDemocracy.
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