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The Personalization Puzzle: Piecing Together Context, Ethics, and Privacy in Recommender Systems delves into the complex interplay of personalization, ethical considerations, and privacy in modern recommendation systems. With an emphasis on balancing user-centric designs and robust data protections, this book explores the evolving landscape of AI-driven recommendations across industries. It provides insights into cutting-edge technologies, ethical dilemmas, and privacy-preserving techniques, offering actionable frameworks for building sustainable, transparent, and inclusive systems. Ideal for researchers, practitioners, and policymakers, it unpacks the challenges and opportunities in crafting responsible personalization solutions.
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