Deliverable D4.4 User profile and contextual adaptation

This deliverable presents the methods employed in LinkedTV to create, update and formalise a semantic user model. In addition, the first approach on extraction of context and contextual features and its adaptation onto the semantic user profiles is presented

Deliverable D4.2 User profile schema and profile capturing

This deliverable presents methods employed in LinkedTV to create, update and formalise a semantic user model that will be used for concept and content filtering. It focuses on the ex-traction of lightweight and dense implicit knowledge about user preferences. This process includes the semantic interpretation of information that stem from the user’s interaction with the content, together with the estimation of the impact that pre-ferred concepts have for each specific interaction based on the type of transaction and the user’s physical reaction to the con-tent. User preferences are then updated based on their age, frequency of appearance and utility, while persistent associa-tions between preferences are learnt. This information evolves to a semantic user model that is made available for predictive inference about relevant concepts and content

Deliverable D4.1 Specification of user profiling and contextualisation

This deliverable presents a comprehensive research of past work in the field of capturing and interpreting user preferences and context and an overview of relevant digital media-specific techniques, aiming to provide insights and ideas for innovative context-aware user preference learning and to justify the user modelling strategies considered within LinkedTV’s WP4. Based on this research and a study over the specific technical and conceptual requirements of LinkedTV, a prototypical design for profiling and contextualizing user needs in a linked media environment is specified