Abstract: By adaptive questioning in a way that is entertaining, recommendations can be presented to a subscriber even with a limited amount of user profile information. Moreover, the questioning can allow a subscriber to learn something about himself. Each interaction can be short as well as light hearted and fun in order to accommodate intermittent usage with frequent interruptions. Intermixing questions/recommendation selections that are focused on gaining profile information as well as being somewhat random can unexpectedly learn something about the subscriber while keeping the user experience entertaining. Personal details can be avoided and tools for editing stored personal information can enhance a sense of privacy in order to induce trust. Questions and other responses can lead to other questions in a manner that allows characterizing a subscriber so that recommended offerings can be selected that are appropriate.

Abstract: A method for generating recommendations for a user of a mobile device is provided. The user is associated with a service provider. A request for a recommendation is obtained. Data associated with the user and data on the content available to the user is retrieved from the service provider. A list of recommendations is generated based on an analysis of the retrieved user data. The recommendations are generated by a plurality of different recommendation techniques.

Abstract: An embodiment of the present invention includes an extensible and dynamic software operating environment supporting applications which process structured information, and particularly an environment supporting XML processors.