Uber Technologies, Inc.

Michael Del Balso

Nikunj Aggarwal

Eric Chen

Jeremy Hermann

Shahriar Shariat

Pusheng Zhang

Marcos M Campos

Brandon White

Shagandeep Kaur

Machine-learned models are selectively distributed to a plurality of computer servers according to conditions associated with the computer servers. A server receives travel information from a travel coordination system. The travel information describes a plurality of conditions. The server identifies a hierarchy of one or more parent-child relationships based on the plurality of conditions. The server trains machine-learned models using the plurality of conditions described by the travel information. The server selects machine-learned models for the plurality of conditions responsive to the identified hierarchy. The server distributes machine-learned models to the plurality of computer servers responsive to the identified hierarchy.

Selective distribution of machine-learned models

Growing community of inventors

San Francisco, CA, United States of America

Michael Del Balso