• ARII-eL: An Adaptive, Informal and Interactive eLearning Ontology Network 

      Burgos, Daniel (1) (Fuzzy systems and data mining II, 2016)
      User models - the representation of user properties, preferences, goals, etc. - are crucial in modern educational applications. Several related processes, such as recommendations and user adaptations, depend on a user ...
    • L.I.M.E. A recommendation model for informal and formal learning, engaged 

      Burgos, Daniel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2013)
      In current eLearning models and implementations (e.g. Learning Management Systems-LMS) there is a lack of engagement between formal and informal activities. Furthermore, the online methodology focuses on a standard set of ...
    • Meta-Mender: A meta-rule based recommendation system for educational applications 

      Romero Zaldivar, Vicente Arturo; Burgos, Daniel (1) (Procedia Computer Science, 2010)
      Recommenders are central in current applications to help the user find useful information spread in large amounts of data. Most Recommenders are more effective when huge amounts of user data are available in order to ...
    • MyShikko: Modelling knee walking in Aikido practice 

      Corbi, Alberto (1); Santos, Olga C. (UMAP 2018 - Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization, 2018)
      Modelling physical activity is a recent research topic in the field of user modelling. In our research, we aim to model complex activities such as those required to master the practice of a martial art. In particular, in ...