基于机器学习的按摩椅个性化服务算法研究  

Research on Personalized Service Algorithm of Massage Chair Based on Machine Learning

作　　者：吕忠侠 陈祥 LYU Zhongxia;CHEN Xiang(Haozhonghao Health Technology Co.,Ltd.,Wenzhou,Zhejiang 325055,China)

机构地区：[1]豪中豪健康科技有限公司,浙江温州325055

出　　处：《移动信息》2025年第4期254-256,共3页Mobile Information

摘　　要：随着人工智能技术的不断发展,机器学习已被广泛应用于多个领域,以提升服务个性化和效率。机器学习通过从大量数据中学习规律和特征,支持系统更精准地理解和预测用户需求。在按摩椅行业,通过应用机器学习算法,可以实现更加精细化的用户体验,根据用户的体质、偏好及历史反馈调整按摩模式。文中系统地研究了基于机器学习的按摩椅个性化服务算法的设计与实现,包括数据收集、用户分类、偏好预测及实时反馈调整,并通过技术应用测试验证了算法的有效性与实用性。With the continuous development of artificial intelligence technology,machine learning has been widely used in many fields to improve the personalization and efficiency of services.Machine learning enables systems to more accurately understand and predict user needs by learning rules and features from large amounts of data.In the massage chair industry,the application of machine learning algorithm can achieve more refined user experience,and the massage mode can be adjusted according to users̓physique,preferences and historical feedback.This paper systematically studies the design and implementation of the personalized service algorithm of massage chair based on machine learning,including data collection,user classification,preference prediction and real-time feedback adjustment,and verifies the effectiveness and practicability of the algorithm through technical application test.

关 键 词：机器学习 按摩椅 个性化服务 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]