Method, Apparatus, and System for Providing a Location Representation for Machine Learning Tasks

Published:

Recommended citation: C. Cervantes & S. Kompella. Method, Apparatus, and System for Providing a Location Representation for Machine Learning Tasks. U.S. Patent Application 17/116727, filed December 2020. Patent Pending

This invention describes a broad mechanism to create real-valued vector representations that encode locations’ semantic and spatial properties for use in downstream tasks like search, question answering, relation prediction, and so on. The invention’s methods draw heavily on prior art, but incorporate significant modifications to capture the complex, high-level multi-model information that defines locations.