Hyper-personalization in Smart City Services for Inclusivity
Hyper-personalization in smart city services refers to using fine-grained data (sensor, behavioral, contextual) and advanced AI /ML to tailor public services to the needs of individuals or narrowly defined groups, with the goal of making city services more inclusive and just. This article delivers a deep, research-backed exploration suitable for engineers, policy makers, and informed leaders. What is Hyper-personalization in Smart Cities? Hyper-personalization builds upon traditional personalization and segmentation by leveraging real-time, contextual, and fine-grained data to adapt services dynamically to individuals or small populations. Unlike “one-size-fits-many” services, hyper-personalized systems aim to account for individual mobility patterns, accessibility needs, preferences (language, notification mode), and situational context (weather, schedule, location). Technologies involved include IoT sensors, edge computing, machine learning (supervised, semi-supervised, reinforc...