摘要
随着智能家居设备的广泛应用,用户在日常操作中积累了大量数据,然而这些数据在过去并未得到充分应用。如今,借助大数据和机器学习技术的突飞猛进,这些数据的潜力得以充分挖掘。本文深入探讨了用户行为识别和预测的现有技术分类,并特别选取了电热水器用户的用水行为作为研究切入点。通过这一具体案例,本文深入浅出地介绍了个性化服务与智能管理的研究步骤——如何从海量数据中提取有价值的信息,并应用到实际场景中。
With the wide application of smart home devices,users have accumulated a large amount of data in their daily operations,however,this data has not been fully utilized in the past.Nowadays,with the rapid advancement of big data and machine learning technologies,the potential of these data can be fully explored.In this paper,we delve into the classification of existing technologies for user behavior identification and prediction,and specifically select the water consumption behavior of electric water heater users as the entry point for the study.Through this specific case,we briefly introduce the research steps and show how to extract valuable information from massive data and apply it to real-world scenarios for personalized services and intelligent management of smart homes.
出处
《日用电器》
2024年第8期151-158,共8页
ELECTRICAL APPLIANCES
关键词
用户行为
行为识别
行为预测
电热水器
user Behaviors
behavioral identification
behavioral prediction
electric water heater
