Intuitive network applications: Learning user context and behavior

This paper presents some details on the Intuitive Network Applications (INA) project, which aims to monitor and analyze a user's behavior in a semiautomated fashion and utilize the learned information to provide personalized services to the user. An aspect of this framework is how user input can be used to direct the learning process. We discuss some scenarios that illustrate the use of the INA framework in the context of advertising and show how a user's learned habits and intentions can be used to provide targeted and timely advertisements to the user. We also provide some preliminary results on applying some of the learning techniques in a pilot study conducted among a group of volunteers whose activities and movements were monitored over time.