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Recently, measuring users and community influences on social media networks play significant roles in science and engineering. To address the problems, many researchers have investigated measuring users with these influences by dealing with huge data sets. However, it is hard to enhance the performances of these studies with multiple attributes together with these influences on social networks. This...
In recent years, it has been great interest for Question Answering (QA) systems applied to many areas placing a high value on the community. The study and development of such QA systems through chatbot tools in medicine raise great needs for clinicians in their daily activities. Chatbots use the knowledge that could be retrieved from a database, but with limited inference capability. In this paper,...
Context-awareness relates to personalisation and requires the selection of potential recipients for targeted service provision. Selection requires a decision, therefore context-aware systems are decision-support systems. In the ‘real-world’ humans try to reach ‘rational decisions’ by applying ‘wisdom’, in this paper we propose an approach which applies ‘rational decision-support’ in context-aware...
Computer science relies heavily on computational modeling and while the value of such an approach is generally recognized the methodological account of computational explanation is not up-to-date. In this paper we explore machine cognition with the creation of effective cognitive modeling and consider the elemental components that combine to create an effective cognitive model. The creation of such...
Context-aware systems have historically employed a limited range of available data and while research across a diverse range of domains is addressing an increasingly broad range of data the level of intelligence generated in context-aware systems remains generally very limited. This is arguably due to the highly dynamic nature and inherent complexity of context. Individuals view the world though a...
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