DOI: 10.5176/2251-1679_CGAT15.42

Authors: B. Rajathilagam, Balaji. B and Murali Rangarajan


Modelling the changing behaviour 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. Some sample scenarios where the proposed method is an improvement over regular preference choices are shown. The proposed system is found to be dynamic and adaptive.

Keywords: context detection, dynamic context, user preference model, regression mapping, ontology

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