Intuitive Network Applications: Learning for Personalized Converged Services Involving Social Networks

Abstract— The convergence of the wireline telecom, wireless telecom, and internet networks and the services they provide offers tremendous opportunities in services personalization. We distinguish between two broad categories of personalization systems: recommendation systems, such as used in advertising, and life-style assisting systems, which attempt to customize or specialize services to an individual’s needs, preferences, and habits. The Privacy-Conscious Personalization (PCP) framework, developed previously at Bell Labs, uses a high-speed rules engine to enable rich life-style assisting personalization. During network-hosted information sharing and call processing, the PCP framework can be used to interpret a combination of incoming requests, user data, and user preferences in order to provide contextaware, requester-targeted, and preferences-driven responses to those requests (e.g., deciding whether to share a user’s location with a given requester, what to show as the endu...

• Type: Journal
• Year: 2007
• Where: JCP
• Authors: Robert Dinoff, Tin Kam Ho, Richard Hull, Bharat Kumar, Daniel F. Lieuwen, Paulo Santos, Haobo Ren
• Keywords: Bell Labs, JCP 2007, Life-style Assisting Systems, Personalization