Recommender systems were utilised as an effective way to filter out unnecessary data and make recommendations for the helpful products in the face of the exponential growth of data that is accessible through the Web. The widespread use of smart phones, smart wearables, and other Internet of Things (IoT) devices has steadily fuelled the emergence of numerous unique services that are latency-sensitive, computationally intensive, and have improved service quality. In such cases, the data sources have four essential traits: heterogeneity, mobility, volatility, and sparsity. Traditional recommender systems using cloud computing are unable to uncover consumer demand data