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Native machine learning service for user adaptation on a mobile platform

  • US 8,429,103 B1
  • Filed: 08/02/2012
  • Issued: 04/23/2013
  • Est. Priority Date: 06/22/2012
  • Status: Active Grant
First Claim
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1. A method, comprising:

  • receiving data related to a plurality of features by a machine-learning service executing on a mobile platform, wherein the received data comprises a called party of a telephone call to be originated by the mobile platform;

    determining at least one feature in the plurality of features based on the received data using the machine-learning service;

    generating an output by the machine-learning service performing a machine-learning operation on the at least one feature of the plurality of features, wherein the machine-learning operation is selected from among;

    an operation of ranking the at least one feature, an operation of classifying the at least one feature, an operation of predicting the at least one feature, and an operation of clustering the at least one feature, wherein the output comprises a prediction of a volume setting and/or a mute setting of the mobile platform; and

    sending the output from the machine-learning service.

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