Modelling the changing behavior of a user is done by defining a user context for personalized services. Though many parameters have been identified to sense the context of a user automatically by a mobile device, identifying the right semantic context is still a challenge. Towards better defining user context for context aware mobile applications, this work proposes models for smarter context detection, a multidimensional evolutionary ontology, dynamic user profile generation, and a mapping of context and user preferences using a regression model.
