Personalized Information Recommendataion Using Hybrid CBR and CSP in a Ubiquitous Computing Environment
Mye M. Sohn, Hyunwoo Kim, Hyun Jung Lee · 2011
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.