Recommendation system based on user profile extracted from an IMS network with emphasis on social network and digital TV

Abstract

This paper introduces new network architecture capable of providing a flexible and configurable Recommendation System in which network operator, subscribers and content providers could interact to each other by message exchanging. This solution considers multiple inputs provided by the user and context-based information of IP Multimedia Subsystem (IMS) network. It creates a specific subscriber profile based on information from cellular and fixed networks, digital TV and, internet services as social networks or e-mail accounts. Also, for collecting information is used a Cell Broadcast platform which can send messages to a specific geographic location achieving users with high probability of similar preferences. User feedback is collected to evaluate the utility of recommendation messages. As additional features, the Recommendation System uses presence and location information as a decision factor to send or not the recommendation messages.