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Tweaking citizen participation is vital in promoting Smart City services.However, conventional practices deficit sufficient realization of personaltraits despite socio-economic promise. The recent trend of IoT-enabledsmart-objects/things and personalized services pave the way for context-awareservices. Eventually, the aim of this paper is to develop a context-aware modelin predicting participation of smart city service. Hence, major requirementsare identified for citizen participation, namely (a) unwrapping of contexts,which are relevant, (b) scaling up (over time) of participation. However,paramount challenges are imposed on this stipulation, such as,un-observability, independence and composite relationship of contexts.Therefore, a Non-parametric Bayesian model is proposed to address scalabilityof contexts and its relationship with participation.

Non-Parametric Bayesian Rejuvenation of Smart-City Participation through Context-aware Internet-of-Things (IoT) Management