A Study on usage of Social Media and Home Appliances using Social IoT domain with Artificial Intelligence

Social Internet of Things (SIoT) integration with Social Media (SM) platforms and home appliances aims to address challenges related to network navigability, device discovery, and service composition by enabling IoT objects for human SM interaction. This survey proposes an Artificial Intelligence (AI)-based framework applied to SIoT, designed to identify complex, nonlinear relationships between inputs and outputs to classify trustworthy home appliances and services within the SM context. The data from Social Media and trustworthiness of home appliances are analysed using Machine Learning (ML) techniques. SIoT facilitates more efficient interaction through SM and enhances decision-making automation, improving both the user experience and appliance performance. The performance measures of the ML approach is evaluated, enhancing SM communication and optimizing the performance of connected home appliances within the Social IoT ecosystem.