用户行为识别和预测算法技术研究综述
A Review of Technical Research on User Behavior Recognition and Prediction Algorithms
钟益明 1刘霁雪 1邹建华 2卢伟健2
作者信息
- 1. 广东万和新电气股份有限公司 佛山 528325
- 2. 广东顺德西安交通大学研究院 佛山 528300
- 折叠
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.
Abstract
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 ap-ply it to real-world scenarios for personalized services and intelligent management of smart homes.
关键词
用户行为/行为识别/行为预测/电热水器Key words
user Behaviors/behavioral identification/behavioral prediction/electric water heater引用本文复制引用
出版年
2024
NETL
NSTL
万方数据