Consumers have become better informed, forcing companies to offer products and services that fit their tastes and preferences. The technologies in the context of internet of things (IoT) have been in increasing demand, by allowing the adaptation and customization of products and services contextualized with the location of consumers functioning and operating in real-time context and location of consumers. In this chapter, two relevant real-time content notification systems based on IoT systems are analyzed. It was concluded that, despite all the advantages associated with the use of these notification services, there are some security limitations: large amount of information collected, it is necessary to manage quickly and effectively to deliver relevant content in a timely manner; need for high bandwidth; considerable reduction of the autonomy of the batteries of the smartphones, of the users due to the necessity of activation of the GPS and the Bluetooth.
TopBackground
Currently, people use the Internet mainly to search information, send and receive e-mails, access multimedia content (eg music and videos), play online and interact on social networks (Miorandi, Sicari, De Pellegrini, & Chlamtac, 2012).
The concept of internet has been evolving, allowing new forms of interaction. Smart objects are everyday objects with built-in electronic components that extend the capabilities of the Internet and objects themselves (Miorandi et al., 2012). Smart objects produce and consume information from the relationships they establish with other smart objects, with the Internet and with users, thus forming an interconnected, dynamic and distributed network (Miorandi et al., 2012).
The Internet of Things (or IoT) brings a range of opportunities for both users and businesses. The products or services can collect user information and react appropriately and individually, considering user context and preferences (Miorandi et al., 2012).
Due to the great heterogeneity of the IoT devices, an enormous amount of information arises, so that it is necessary to present relevant information to the user in a timely manner, considering their location, tasks, and time of day without losing the context of, and not limited to, recommending based on articles like those already consulted or used by users (Cha et al., 2017).