Aigul Kaskina
Citizen Privacy Framework: Case of a Fuzzy-based Recommender System for Political Participation
Citizen Privacy Framework: Case of a Fuzzy-based Recommender System for Political Participation
- Condition: Brand new
- UK Delivery times: Usually arrives within 2 - 3 working days
- UK Shipping: Fee starts at £2.39. Subject to product weight & dimension
Couldn't load pickup availability
Excellent- More about Citizen Privacy Framework: Case of a Fuzzy-based Recommender System for Political Participation
This book proposes a fuzzy-based recommender system for user account privacy settings on online political platforms, addressing the privacy paradox and demonstrating its adaptability for various organizations.
Format: Hardback
Length: 110 pages
Publication date: 16 September 2022
Publisher: Springer International Publishing AG
This comprehensive book delves into the realm of a fuzzy-based recommender system, specifically designed for user account privacy settings, with a focus on citizen participation on online political platforms. The intricate components of this system are meticulously crafted based on the requirements of a political platform implemented during the presidential election in Ecuador, serving as a practical illustration of its potential applications.
The book addresses the pressing issue of the privacy paradox, highlighting the discrepancy between users' actual decisions to maintain privacy and their initial privacy intentions. By presenting two key concepts, the citizen privacy profile framework and the prototype fuzzy-based privacy settings recommender system, this text offers valuable insights that can be adapted by a wide range of organizations, including government institutions, non-governmental organizations (NGOs), and private online service providers.
The citizen privacy profile framework serves as a foundation for understanding individual privacy preferences and behaviors. It encompasses a range of factors, such as user demographics, online activities, and social connections, allowing organizations to create personalized privacy recommendations that align with users' specific needs and values. This framework empowers users to have greater control over their privacy settings and makes it easier for them to make informed decisions about their online presence.
On the other hand, the prototype fuzzy-based privacy settings recommender system employs fuzzy logic and machine learning algorithms to analyze users' privacy preferences and recommend optimal privacy settings based on their context. This system takes into account the complexity of privacy decisions and provides users with a range of options, allowing them to balance privacy and functionality. By leveraging the power of fuzzy logic, the system can handle uncertainties and provide recommendations that are tailored to individual users' preferences.
The adaptability of these concepts makes the book of interest to researchers and practitioners in various fields, including usage modeling, privacy, system design, and service providers in the realm of eDemocracy. By exploring the intersection of technology, policy, and user behavior, this book contributes to the ongoing discourse on the importance of privacy in the digital age and offers practical solutions for enhancing user privacy and promoting citizen participation on online political platforms.
Weight: 366g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031060205
Edition number: 1st ed. 2022
This item can be found in:
UK and International shipping information
UK and International shipping information
UK Delivery and returns information:
- Delivery within 2 - 3 days when ordering in the UK.
- Shipping fee for UK customers from £2.39. Fully tracked shipping service available.
- Returns policy: Return within 30 days of receipt for full refund.
International deliveries:
Shulph Ink now ships to Australia, Canada, France, Ireland, Germany, Spain, New Zealand and the United States of America.
- Delivery times: within 5 - 20 business days when ordering to France, Germany, Ireland, Spain, Canada and the United States. Up to 30 business days for Australia and New Zealand.
- Shipping fee: charges vary for overseas orders. Only tracked services are available for international orders.
- Customs charges: If ordering to addresses outside the United Kingdom, you may or may not incur additional customs and duties fees during local delivery.
