Automatic learning of user interests for personalized communication services

摘要

In view of the overwhelming popularity of user generated content new intelligent services are needed to filter this content based on personal interests. In this paper we present a set of algorithms for retrieving content, based on dynamic user profiles and learning capabilities. To illustrate the approach taken, a rich communication service is presented.