Abstract: A ground truth expansion system that generates an expanded set of synthetic questions and selects a targeted subset of questions for machine learning training. The machine learning may be used to train an automated inquiry system that responds to questions received from individuals about subject matter of interest. The automated inquiry system is particularly suitable for use in, for example, responding to questions raised by insured individuals about their healthcare benefits.

Abstract: A system to assist users with the completion of tasks in a wellness program itinerary. The system assists users in completing tasks by recommending a controlled number of tasks for a user to perform in a next task period. The system determines the number of tasks to recommend by computing a pace that would enable the user to complete all wellness programs in the itinerary within a recommended time period. The system determines which tasks to recommend to the user based on several factors, such as a user state and user environment. The user environment is based on the location of the user, and may include the weather and surrounding landmarks at the location.