Personalized Application Enablement by Web Session Analysis and Multisource User Profiling

© 2009 Alcatel-Lucent. Mastering knowledge of user profile is one of the technical cornerstones for service providers who handle a large amount of end-user service consumption data and are well positioned to dynamically infer user interest domains. This paper presents a holistic approach to service personalization allowing to gather user's consumption data from different multimedia services, to create and track user profiles in real-time, and to monetize them by targeting content or other personalized services. We describe a multi-source profiling engine that deals with both operator-controlled domains and OTT applications. In particular, to cover the Web domain, we combine the multi-source profiling engine with a DPI-based keyword inference engine characterizing the users' web browsing sessions in terms of most relevant keywords.