Citizen Privacy Framework: Case of a Fuzzy-Based Recommender System for Political Participation
暫譯: 公民隱私框架:基於模糊的政治參與推薦系統案例
Kaskina, Aigul
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)
本書介紹了一種基於模糊邏輯的推薦系統概念,旨在用於用戶帳戶隱私設置,並可應用於公民參與在線政治平台。所闡述的組件是基於厄瓜多爾總統選舉期間實施的政治平台需求的範例。本書重新探討了隱私悖論的問題,顯示用戶在大多數情況下實際的隱私決策與其最初的隱私意圖存在偏差。本書中提出的兩個概念——公民隱私檔案框架和原型模糊邏輯隱私設置推薦系統——可以被不同的組織如政府機構、非政府組織或私人在線服務提供商調整,以滿足其特定需求。
本書將吸引使用建模、隱私、系統設計領域的研究人員和實務工作者,以及電子民主服務提供商的關注。
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 取得瑞士弗里堡大學的計算機科學哲學博士學位。目前,她在瑞士蘇黎世的埃森哲(Accenture)擔任數據與人工智慧科學家。她的主要研究方向包括數據分析、大數據、人工智慧和機器學習。