A Framework for Learning to Personalize Converged Services Involving Social Networks

Ths paper describes key aspects of a new initiative at Bell Labs, called Intuitive Network Applications (INA), which will combine human factors and automated learning techniques, in order to gather and apply user data and preferences, to enable effective adaptation to end-user needs with minimal disruption to her. The focus of this paper is on applications which involve the interaction of an end-user with her social network, i.e., family, friends, colleagues, customers, etc. The paper describes (i) key requirements, (ii) a high-level architectural framework, and (iii) some specific directions currently under exploration for filling out the framework.