• Meta-rule based recommender systems for educational applications 

  Romero Zaldivar, Vicente Arturo; Burgos, Daniel (1); Pardo, Abelardo (IGI GlobalEducational Recommender Systems and Technologies: Practices and Challenges, 2011)

  Recommendation Systems are central in current applications to help the user find relevant information spread in large amounts of data. Most Recommendation Systems are more effective when huge amounts of user data are ...

• Meta-rules: Improving adaptation in recommendation systems 

  Romero Zaldivar, Vicente Arturo; Burgos, Daniel (1) (LWA. Lernen, Wissen und Adaptivitat, 2010)

  Recommendation Systems are central in current applications to help the user find useful information spread in large amounts of post, videos or social networks. Most Recommendation Systems are more effective when huge amounts ...

• What is wrong with the IMS Learning de sign specification? Constraints and rec-ommendations 

  Burgos, Daniel (1) (Proceedings ABIS 2010, 10/2010)

  The work presented in this paper summarizes the research performed in order to implement a set of Units of Learning (UoLs) focused on adaptive learning processes, using the specification IMS Learning Design (IMS-LD). Through ...

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