Invention Grant
- Patent Title: Selective distribution of machine-learned models
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Application No.: US15335364Application Date: 2016-10-26
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Publication No.: US10200457B2Publication Date: 2019-02-05
- Inventor: Shahriar Shariat , Pusheng Zhang , Brandon White , Shagandeep Kaur , Jeremy Hermann , Marcos M. Campos , Michael Del Balso , Nikunj Aggarwal , Eric Chen
- Applicant: Uber Technologies, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Uber Technologies, Inc.
- Current Assignee: Uber Technologies, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Fenwick & West LLP
- Main IPC: G06F15/16
- IPC: G06F15/16 ; H04L29/08 ; G06N99/00 ; H04L29/06 ; G06F9/46

Abstract:
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.
Public/Granted literature
- US20180115598A1 Selective Distribution of Machine-Learned Models Public/Granted day:2018-04-26
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