Personalized Information Recommendataion Using Hybrid CBR and CSP in a Ubiquitous Computing Environment

Dynamic adaptation is to create proper information from the context of the end user exposed to a ubiquitous computing environment. Thereby, we propose a Context Ontology-based personalized recommendation in the ubiquitous computing Environment (CORALE) framework to process dynamic adaptation considering social context as a kind of tacit knowledge. The CORALE uses two types of reasoning for the dynamic adaptation, (i) we create a case including an end user´s context and decision-making result and reuse the case to recommend a newly requested context, (ii) we adopt constraint satisfaction problem solving algorithm when additional adaptation is needed according to the change in the current context or end user´ preference. To prove the necessity of the CORALE framework, we illustrate motivating scenarios.