Enriching queries with user preferences in healthcare |
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| Affiliation: | 1. School of Electrical and Computer Engineering, College of Engineering, University of Tehran, P.O. Box 14395-515, Tehran, Iran;2. School of Computer Science, Institute for Research in Fundamental Sciences (IPM), P.O. Box 19395-5746, Tehran, Iran;1. Department of Computer Science, Faculty of Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia;2. School of Information Science and Technology, Faculty of Informatics, University of Wollongong, NSW 2522, Australia;3. Department of Decision and Information Sciences, School of Business Administration, Oakland University, Rochester, MI 48309, USA;4. Department of Global Service Management, Sogang Business School, Sogang University, Seoul 121-742, Republic of Korea;1. Artificial Intelligence and Applications Group, School of Computing and Mathematics, Faculty of Engineering, University of Ulster at Jordanstown, Newtownabbey BT37 OQB, United Kingdom;2. SAP(UK) Ltd., The Concourse, Queen’s Road, Queen’s Island, Titanic Quarter, Belfast BT3 9DT, United Kingdom;1. Tianjin Key Laboratory of Cognitive Computing and Application, School of Computer Science and Technology, Tianjin University, Tianjin, China;2. The Computing Department, The Open University, UK;3. Department of Computer Science, University College London, UK |
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| Abstract: | Query enrichment is a process of dynamically enhancing a user query based on her preferences and context in order to provide a personalized answer. The central idea is that different users may find different services relevant due to different preferences and contexts. In this paper, we present a preference model that combines user preferences, user context, domain knowledge to enrich the initial user query. We use CP-nets to rank the preferences using implicit and explicit user preferences and domain knowledge. We present some algorithms for preferential matching. We have implemented the proposed model as a prototype. The initial results look promising. |
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| Keywords: | Query enrichment User preference Conditional preference |
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