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Recently, Clouds are wildly used for huge data repository and Internet services in various fields. And IoT networks collect a context data and support the monitoring and control services using thing virtualization. We will build the connection between IoT and cloud, it is very useful, and supports intelligent services based on huge context data. This paper presents the comparison analysis of IoT services based on Clouds for huge context acquisition in large scale IoT networks. And, we develop AWS, Azure, and Google cloud based on IoT, and compare the IoT service of AWS, Azure, and Google Cloud by sending sensing data messages from IoT devices. The comparison helps users to choose easily IoT service based on Cloud. Hence, it is necessary to collect the context data easily and extract useful part for information analysis and usage in Cloud based on IoT.

Recommendation system has been more and more popular recent years. It can help people make decisions easily, and is used in many popular applications include movies, music, news, books, research articles, search queries, social tags, and products in general. Smart homes also get enormous attention in the last decade, due to the important applications like health, energy and security. Different techniques and approaches have been devised by the researchers to make the smart home more efficient and effective. In this paper, we propose the movie recommendation service based on preference correlation coefficient of audience in smart environment, which will lead to the entertainment convenient in smart environment.