NAVIGATING THE PRIVACY-PERSONALIZATION PARADOX: A COMPARATIVE ANALYSIS OF DATA-DRIVEN RECOMMENDATIONS IN FINANCE, E-COMMERCE, AND HEALTHCARE
Abstract
This literature review explores the complex interplay between personalization and privacy in the context of data-driven recommendations across three key sectors: finance, e-commerce, and healthcare. The study examines how these industries leverage artificial intelligence (AI) and big data to deliver personalized experiences while navigating the critical challenge of protecting user data. It synthesizes findings on ethical considerations, regulatory frameworks, technological solutions, and the impact of these practices on consumer trust. The review aims to provide a comparative analysis, highlighting the unique challenges and strategies employed by each sector in balancing personalization with the imperative of privacy.