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商品描述
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.
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.
商品描述(中文翻譯)
本書介紹了一個基於模糊邏輯的推薦系統概念，用於用戶帳戶隱私設置，可用於在線政治平台上的公民參與。所述的組件以厄瓜多爾總統選舉期間實施的政治平台的需求為例。本書重新討論了隱私悖論的問題，並證明了實際上，用戶在大多數情況下對隱私的實際決策與他們最初的隱私意圖不一致。本書介紹的兩個概念 - 公民隱私配置文件框架和基於模糊邏輯的隱私設置推薦系統原型 - 可以由不同組織（如政府機構、非政府組織或私營在線服務提供商）根據其特定需求進行適應。本書對於使用建模、隱私、系統設計以及電子民主服務提供商的研究人員和從業人員都具有興趣。
作者簡介
Aigul Kaskina acquired the degree of Doctor of Philosophy in Computer Science from University of Fribourg, Switzerland. Currently she is working as a Data & AI scientist at Accenture based in Zurich, Switzerland. Her main focus is on data analytics, big data, artificial intelligence and machine learning.
作者簡介(中文翻譯)
Aigul Kaskina在瑞士弗里堡大學獲得了計算機科學博士學位。目前她在瑞士蘇黎世的Accenture擔任數據和人工智能科學家。她的主要研究方向是數據分析、大數據、人工智能和機器學習。
