Construction of a Personalized Fitness Service System for the Masses Based on Data Mining

With the improvement of public health awareness, users' demand for accurate and scientific fitness guidance is gradually increasing. The current fitness management system is limited by the insufficient protection of user privacy data and the lack of personalized fitness suggestions. Therefore, a health management and fitness guidance system based on cloud data is proposed. The rise of big data technology has brought unprecedented opportunities to the fitness field. Through the comprehensive analysis of the application of big data in the field of fitness, this paper discusses the design, implementation and optimization of intelligent fitness system based on big data technology, and provides users with personalized fitness programs through user behavior analysis and fitness effect evaluation, aiming at providing a more intelligent and efficient fitness system to meet the fitness needs of modern society.