A Review of Technical Research on User Behavior Recognition and Prediction Algorithms
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.
user Behaviorsbehavioral identificationbehavioral predictionelectric water heater
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