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professionals may be more likely to recommend apps to people with a higher socioeconomic position. This is a concern because people with lower health literacy often depend strongly on professional guidance when
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. The research will focus on artificial intelligence, machine learning, data analytics, and recommendation systems, with applications to personalized decision-making, digital platforms, digital health, and mental
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seeks to appoint a Researcher (R1- Master's Degree) on information management who can generate insights and recommendations based on process and user feedback data analysis to contribute
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of (standardised) ontologies. Central to the framework is the Architectural Ontology Recommendation Service, which leverages Enterprise Architecture models (e.g., ArchiMate and EIRA) to derive semantic requirements
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Recommendation Service, which leverages Enterprise Architecture models (e.g., ArchiMate and EIRA) to derive semantic requirements from stakeholders’ goals, requirements, business objects, and integration patterns
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on this webpage is subject to change. The Curtin Principal’s Recommendation Award has been developed by Curtin University to encourage and support students who have chosen to study at Curtin University. Each West
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Chronic conditions are becoming a serious global and national health problem. Recommendation systems play an important role in supporting patients in managing their long-term health issues
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an individual’s eating patterns and associated blood glucose responses over time. The AI model will be then used for providing personalised recommendations by rating food items as poor or healthy choices. Such
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Leveraging Large Language Models, Recommendation Systems, and Interpretable Deep Learning for Firefighter Safety and Decision Support NIST only participates in the February and August reviews
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A recommender system is a subclass of information filtering/retrieval system that provides suggestions for items that are most pertinent to a particular user without an explicit query. Recommender