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 ...

Past attempts at creating stakeholder networks for specific fields of research or industrial sectors have shown to be a resource-consuming and time-consuming process, which requires continuous monitoring and political ...

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 ...

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 ...

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 ...

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