A context modelling system and learning tool for context-aware recommender systems
Source8th European Conference on Technology Enhanced Learning, EC-TEL 2013
Google Scholar check
MetadataShow full item record
A critical contextual modelling issue in context-aware recommender systems research has to do with developing domain and application specific models that offer no reuse and sharing capabilities. Developers and researchers struggle to design their own models without any guidance, often resulting in overspecialized, inefficient and incomplete context models. On the basis of a prior work, we have developed an online context modelling system and learning tool that is able to guide and teach CARS developers and researchers through the process of CARS context modelling, on how to build their own context models in a way that offers sharing and reuse, while at the same time it teaches them important modern concepts derived by CARS research, significantly advancing as a result their knowledge in the field. © 2013 Springer-Verlag.
Showing items related by title, author, creator and subject.
Model-driven development of context-aware web applications based on a web service context management architecture Kapitsaki, Georgia M.; Venieris, Iakovos St (2009)Context information constitutes an essential aspect of service development and provision in mobile computing in the attempt to provide users with personalized services. The problem of handling context in these environments, ...
Mettouris, Christos; Papadopoulos, George Angelos (2015)Context modelling and context reasoning are widely used topics in Context-Aware Recommender Systems research. Based on our research, the development of context models in context-aware recommender systems is problematic in ...
Kapitsaki, Georgia M.; Achilleos, Achilleas P. (2012)Model matching has been applied to different fields of Model Driven Engineering research and usually concerns models depicting the same information in order to detect their evolution process or elements on which model ...