The Impact Of Recommender Systems On The Internet Of Things

Posted By : Priyansha Sinha | 09-Oct-2018

Recommender Systems in IoT

The Internet of Things visualizes a framework where all the devices can be interconnected together irrespective of their applications. Here is a brief overview of how the recommender systems are vitalizing the space of IoT and their future possibilities in the overall technological advancement.


IoT or the Internet of Things is a networked infrastructure that facilitates a smooth connection between different kind of devices- anytime & anywhere. It is an outcome of the convergence between the two vital topics:


A huge amount of applications and services are developed in IoT scenarios which allows the identification of the most complex task for the users. In this context, the recommender systems have emerged to be the key enabling technology that furnishes the proper recognition of the appropriate services and applications.


Applications Of Recommender Systems In The Internet of Things


When we talk about the recommendation systems with respect to IoT, they essentially suggest for the items & objects of relevance. The examples of such systems in the landscape of IoT include instances such as- the applications to be installed on a gateway, the info texts that are meant to be portrayed on the public displays, additional devices to be managed and deployed on a gateway, relevant data transfer protocols with an objective for completing particular tasks on a gateway, and relevant software and hardware components that should be inculcated in the top-ramp IoT services.


Also Read  4 Ways AI is Facilitating The Existing IoT Revolution

The further applications of the recommender systems in the IoT arena are the recommendation of workflows (for example- which software function should be encompassed in a workflow definition of an IoT software or application), the recommendation in the case of customized in-store shopping outlines (for example- on the basis of customer position in a physical store, deciding which products should be recommended), recommendation of food items (for example- depending on the food items’ conditions, the overall offerings could be adapted), as well as health monitoring (depending on the prevailing physical conditions and eating behaviour of a person, the recommendation of sports exercises and food items). In a major part of these scenarios, the flexible IoT gateways play the most crucial role.


Basic Applications And Technologies Scenarios


The recommender systems can primarily be used for several purposes in order to support IoT scenarios. Moreover, it validates the theory of how the basic recommendation technologies of content-based filtering, collaborative filtering, group recommendations, and knowledge-based recommendation can be implemented for supporting these conditions.


Nevertheless, there are also various circumstances where the basic recommendation technologies are made extensible so that they can be able to handle complex items. For an example, in the process of configuring a whole gateway infrastructure, the connections and their components have to be necessarily taken into account.


Figuring out appropriate recommendations in such complex scenarios also demands personalized search methods and their applications that can help in predicting the relevant components for the users.


A Final Note


In the context of deploying complex recommender systems for IoT configurations, optimal search mechanisms need to be developed that can allow personalized and efficient search solutions even when they are confronted with the complex and huge configuration knowledge bases.


Nonetheless, if you want to develop recommender engines with collaborative filtering, let us know! We’ll be glad to help you with more than one way.

About Author

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Priyansha Sinha

Priyansha is a Content Developer and Writer with almost 2 years of experience. Besides, she is a trained vocalist and pianist with an enormous love for photography.

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