Research and Construction of Personalized Sleep Model Based on Questionnaire Data  

作　　者：Feng Ji Yuan An Yawen Xing Haoran Guan Sitian Yang Panfeng Yuan Feng Ji;Yuan An;Yawen Xing;Haoran Guan;Sitian Yang;Panfeng Yuan(School of Information Engineering, Jiangsu College of Engineering and Technology, Nantong, China)

机构地区：[1]School of Information Engineering, Jiangsu College of Engineering and Technology, Nantong, China

出　　处：《Journal of Computer and Communications》2024年第11期108-119,共12页电脑和通信（英文）

摘　　要：The purpose of this study is to investigate the sleep habits, cervical health status, and the demand and preference for pillow products of different populations through data analysis. A total of 780 valid responses were gathered via an online questionnaire to explore the sleep habits, cervical health conditions, and pillow product preferences of modern individuals. The study found that sleeping late and staying up late are common, and the use of electronic devices and caffeine consumption have a negative impact on sleep. Most respondents have cervical discomfort and have varying satisfaction with pillows, which shows their demand for personalized pillows. The machine learning model for predicting the demand of latex pillow was constructed and optimized to provide personalized pillow recommendation, aiming to improve sleep quality and provide market data for sleep product developers.The purpose of this study is to investigate the sleep habits, cervical health status, and the demand and preference for pillow products of different populations through data analysis. A total of 780 valid responses were gathered via an online questionnaire to explore the sleep habits, cervical health conditions, and pillow product preferences of modern individuals. The study found that sleeping late and staying up late are common, and the use of electronic devices and caffeine consumption have a negative impact on sleep. Most respondents have cervical discomfort and have varying satisfaction with pillows, which shows their demand for personalized pillows. The machine learning model for predicting the demand of latex pillow was constructed and optimized to provide personalized pillow recommendation, aiming to improve sleep quality and provide market data for sleep product developers.

关 键 词：Sleep Model PERSONALIZATION Questionnaire Survey Data Analysis 

分 类 号：F42[经济管理—产业经济]