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This paper proposes a technological solution to improve the user experience of any Learning Management System (LMS), providing resource recommendation and personalization through user profiling. Because of the different types of Learning Management Systems that are been used nowadays in academic world, we propose a standardized solution able to interact with most of them by using Experience API. Our system combines context information and expert knowledge in order to provide recommendations and personalization services. As a basis for our system we have developed an ontological model aimed at representing Experience API context information. In addition, we provide a standardized common vocabulary about Experience API elements and academic task developed within LMS. Our system also allows inference processes about LMS users' behaviour. Finally, our system uses an expert rule system to provide recommendation and personalization services. This combination of context information and expert knowledge could be easily integrated into any Experience API-based LMS, oriented to achieve interoperability between them. Specifically in this paper we have integrated our proposal with Experience API, creating a system called ICUPRES: Integrated, Customization, User Profiling and Recommendation Engine System. As a result of this integration, ICUPRES is able to generate user profiles in order to customize the use of the Learning Management System elements and recommend educational resources addressed to achieve a benefit for both students and lecturers.
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