Selective distribution of machine-learned models

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 identifie...

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Bibliographische Detailangaben
Hauptverfasser: Chen, Eric, Zhang, Pusheng, Hermann, Jeremy, Del Balso, Michael, Shariat, Shahriar, Aggarwal, Nikunj, White, Brandon, Campos, Marcos M, Kaur, Shagandeep
Format: Patent
Sprache:eng
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Zusammenfassung: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.