1. A system that facilitates generating an inference about a destination of a current trip, comprising: a component that makes a log of information about trips, the log comprising previously observed locations that were destinations of the trips; and a modeling component, comprising at least one processor, that generates predictions of a destination of the current trip based at least in part upon a combination, the combination being a combination of outputs of: an open-world submodeling component that provides probabilities, based on the log of locations, that locations that are not in the log are the destination of the current trip; and a closed-world submodeling component that provides probabilities that locations in the log are the destination of the current trip, the closed-world submodeling component inferring the probabilities based on information in the log that indicates probabilities that previously observed locations will recur as a destination of a trip, wherein the modeling component generates a prediction of the destination of the current trip by combining, for each of a plurality of locations, a probability provided by the open-world submodeling component and a probability provided by the closed-world submodeling component.
3. The system of claim 1 , the modeling component effectuates open-world decomposition by using the open-world model and the closed-world model to generate the predictions.