YOON JEONGMI

Beijing International Studies University

Abstract：

This article explores the uniqueness, practical challenges, and optimization paths of data analysis for children in smart hotels. Research suggests that the analysis model needs to establish a coupling mechanism between dynamic demand forecasting and scenario based service adaptation, and achieve a closed-loop design from data insights to personalized experiences. The current practice is facing the privacy paradox of data collection, the adaptation dilemma of algorithm black box and demand heterogeneity, and the risk of imbalance between technological empowerment and humanistic care. To solve the problem, a targeted strategy is proposed, which reconstructs technical ethics through federated learning and dynamic privacy budgeting, introduces developmental psychology theory to optimize spatiotemporal perception prediction models, and constructs a "technology humanities" dual helix operation model. Research breaks through traditional analytical frameworks and provides theoretical support and practical paths for innovation in children's services in smart hotels.

Key Words：

smart hotel; child data analysis; dynamic demand forecasting; privacy protection