Project

Context Aware User Profiles for Mobile Phones

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.