大数据技术的日趋成熟，推动了用户画像在精准化、个性化服务领域的广泛应用。研究运用 文献资料法、逻辑分析法等，为有效应对老年人运动处方数据信息精准度低、数据与资源缺乏共享、跟踪 与评估困难等供给效果低的问题，提出构建基于用户画像的社区老年人智能运动处方系统，帮助老年人 提高健康水平和生活质量，推动社区老年人智能运动处方服务的发展。研究系统梳理了用户画像的应 用现状，分析了构建基于用户画像的社区老年人智能运动处方系统的内涵价值、总体框架、系统架构、运 行流程与主体功能。研究认为，应从加强政策制度保障、积极推进组织协调、促进资源信息共享、重视科 学技术沉淀等多方面努力，为基于用户画像的社区老年人智能运动处方系统在社区运行提供有力支持。

The increasing maturity of big data technology has promoted the wide application of user profiling in the field ofprecise and personalized services. This study employs literature review and logical analysis methods to address the low supplyeffectiveness issues caused by inaccurate exercise prescription data for older adults， lack of data and resource sharing， anddifficulties in tracking and evaluation. It proposes to construct an intelligent exercise prescription system for the communitydwelling elders based on user profiling， helping the elderly improve their health level and quality of life， and promote thedevelopment of intelligent exercise prescription services for the elderly in the community. The research systematically sortsout the application status of user profiling， and analyzes the intrinsic value， overall framework， system architecture， operationprocess and main functions of the proposed intelligent exercise prescription system. The study suggests that efforts shouldbe made in multiple aspects， such as strengthening policy and institutional guarantees， actively promoting organizationalcoordination， facilitating resource and information sharing， and attaching importance to the accumulation of science andtechnology， so as to provide strong support for the operation of the community-based intelligent exercise prescription systemfor the elderly based on user profiling.

G80-05

田纪元，硕士，讲师，研究方向：体育人文社会学