Abstract
Internet of Things (IoT) is the next wave of technological innovation that binds significant number of things (objects) together and produces considerable amount of services which people may use and subscribe for their convenience. As large numbers of objects are interconnected in IoT, collecting information related to the users and their preferences is challenging task. Thus, recommending services to the users based on the objects which are available with them is indispensable for the success of IoT. This paper proposes a context-aware recommender engine for suggesting possible recipes with available food items and time required to prepare the meal in the smart kitchen. It not only considers user’s context but also other environmental context like weather, time, and energy consumption by appliances. The paper concludes with possible future research directions in the area under discussion.
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