Importance

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Abstract

Training data is obtained. The training data includes (a) route information indicative of a route from a starting location to a destination location, wherein the route comprises a plurality of route segments comprising a first subset of route segments and a second subset of route segments, and (b) route characteristic information descriptive of one or more route characteristics. At least the first subset of route segments and a portion of the route characteristic information associated with the first subset of route segments is processed with a machine-learned semantic routing model to obtain one or more predicted route segments for the second subset of route segments. One or more parameters of the machine-learned semantic routing model are adjusted based on an optimization function that evaluates a difference between the one or more predicted route segments and the second subset of route segments.

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