2023
DOI: 10.21203/rs.3.rs-2493264/v1
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A Context-Aware Personalized Recommendation System for Smart Home Automation based on Unsupervised and Supervised Learning Algorithms

Abstract: Current home automation systems allow remote monitoring and control of smart home devices. However, the problem caused by autonomous or self-controlled home automation is that predicting inhabitant behaviour and desires in every situation with 100% accuracy is unrealistic, at least for now. Therefore, the actual implementation of autonomous home automation may prove daunting and rigid for some users. Additionally, inhabitants want to be in control and want control over when and how things are done, this is due… Show more

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