Wang Lei, Feng Wanxuan, Zhang Jianghua, Li Tuojian
Shandong University, School of Management, No. 27 Shanda South Road, Jinan 250100, Shandong, China.
School of Physical Education, Shandong University, 17923 Jingshi Road, Jinan 250061, Shandong, China.
iScience. 2024 Apr 17;27(7):109753. doi: 10.1016/j.isci.2024.109753. eCollection 2024 Jul 19.
The digital and social network revolution in the fitness industry will provide consumers with opportunities to achieve their healthy and active lifestyle goals both online and offline. The online fitness communities provide us an ideal context for the health behavior research with behavioral logs and user-generated content. Enhanced user profiles can empower platform operators to implement more tailored recommendations, thereby enhancing the efficiency of precision marketing and fitness promotion. This study aims to accurately construct user profiles for Chinese online fitness community users and provide future health promotion strategies accordingly. We propose a novel approach that integrates explicit behavior logs and implicit user preferences to accurately construct user profiles. Our findings indicate that users primarily prioritize fitness benefits, incentives, and decision-making. Our results demonstrate the relationship between fitness behavior and implicit preferences, suggesting that promoting fitness behavior can be achieved through streamlining decision-making processes, establishing incentive communities, and emphasizing benefits.
健身行业的数字和社交网络革命将为消费者提供机会,使其能够在线上和线下实现健康积极的生活方式目标。在线健身社区通过行为日志和用户生成内容,为健康行为研究提供了理想的环境。增强的用户档案能够使平台运营商实施更具针对性的推荐,从而提高精准营销和健身推广的效率。本研究旨在为中国在线健身社区用户准确构建用户档案,并据此提供未来的健康促进策略。我们提出了一种新颖的方法,该方法整合了显性行为日志和隐性用户偏好,以准确构建用户档案。我们的研究结果表明,用户主要将健身益处、激励措施和决策列为优先事项。我们的结果证明了健身行为与隐性偏好之间的关系,表明可以通过简化决策过程、建立激励社区和强调益处来促进健身行为。