Internet of Things (loT) is the next wave of industry revolution that generates signifieant amount of various serviees, such as personal health care and green energy monitoring, which people may subscribe for their convenience. These services may have different featu res, such as fixed or mobile, scalable or non scalable, portable or non-portable. Thus, recommending loT services to users based on objects they own will become very important for the success of loT. In this preliminary work, we introduce the concept of service recommender systems in loT by a formal model for loT recommendation. We propose a graph based recommender system that takes into account the unique structure ofIoT.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.